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ORCIDnpj Digital Medicine, Volume 8
Volume 8, Number 1, 2025
- Joseph Kambeitz, Andreas Meyer-Lindenberg:
Modelling the impact of environmental and social determinants on mental health using generative agents. - Luciana D'adderio
, David W. Bates:
Transforming diagnosis through artificial intelligence. - Yong Whi Jeong, Hayon Michelle Choi, You Hyun Park, Yongjin Lee, Ji Ye Jung, Dae Ryong Kang:
Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals. - Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen:
Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma. - Kristin M. Kostick-Quenet:
A caution against customized AI in healthcare. - Tom W. Andrew, Mogdad Alrawi, Ruth Plummer, Nick J. Reynolds, Vern Sondak, Isaac Brownell, Penny E. Lovat, Aidan Rose, Sophia Z. Shalhout:
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancers. - Anubhuti Sood, Deepika Mishra, Varun Surya, Harpreet Singh, Rajesh Sundaresan, Debnath Pal, Raghu Dharmaraju, Rohit Satish, Shashwat Mishra, Nishant A. Chavan, Soham Mondal, Pavan Duggal, Venkateswaran K. Iyer:
Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector. - Lisa Asciak, Justicia Kyeremeh, Xichun Luo, Asimina Kazakidi, Patricia Connolly, Frederic Picard, Kevin O'neill, Sotirios A. Tsaftaris, Grant D. Stewart, Wenmiao Shu:
Digital twin assisted surgery, concept, opportunities, and challenges. - Jitendra Jonnagaddala, Zoie Shui-Yee Wong:
Privacy preserving strategies for electronic health records in the era of large language models. - Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan:
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. - Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi:
Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability. - Gayeon Ryu, Jae Moon Choi, Hyeon Seok Seok, Jaehyung Lee, Eun-Kyung Lee, Hangsik Shin, Byung-Moon Choi:
Machine learning based quantitative pain assessment for the perioperative period. - Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen:
A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging. - José Luis Gracia Martínez, Bernadette Pfang, Miguel Ángel Morales Coca, Cristina Caramés Sánchez, Marta del Olmo Rodríguez, Marco Antonio Villegas García, Jorge Short Apellaniz, Javier Arcos Campillo, Juan Antonio Álvaro de la Parra, Florencia Manzano Lorefice, Luis Enrique Muñoz Alameda:
Implementing a closed loop clinical decision support system for sustainable preoperative care. - Karthik Adapa, Ashu Gupta, Sandeep Singh, Hitinder Kaur, Abhinav Trikha, Ajoy Sharma, Kumar Rahul:
A real world evaluation of an innovative artificial intelligence tool for population-level breast cancer screening. - Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu:
The use of large language models in detecting Chinese ultrasound report errors. - Greta Ullrich, Alexander Bäuerle, Lisa Maria Jahre, Katrin Paldán, Jana Rosemeyer, Chiara Kalaitzidis, Christos Rammos, Martin Teufel, Tienush Rassaf, Julia Lortz:
Impact of visual presentation of atherosclerotic carotid plaque on cardiovascular risk profile using mHealth technologies. - Haohuai He, Guanxing Chen, Zhenchao Tang, Calvin Yu-Chian Chen:
Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. - Tian Lin, Meng Wang, Aidi Lin, Xiaoting Mai, Huiyu Liang, Yih Chung Tham, Haoyu Chen:
Efficiency and safety of automated label cleaning on multimodal retinal images. - Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Zoie Shui-Yee Wong, Yang Gong, Shin Ushiro:
A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety. - Manlio De Domenico, Luca Allegri, Guido Caldarelli, Valeria d'Andrea, Barbara Di Camillo, Luis M. Rocha, Jordan C. Rozum, Riccardo Sbarbati, Francesco Zambelli:
Challenges and opportunities for digital twins in precision medicine from a complex systems perspective. - Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic:
Systematic review of machine learning applications using nonoptical motion tracking in surgery. - Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang:
Equitable artificial intelligence for glaucoma screening with fair identity normalization. - Cheng-Jiang Wei, Yan Tang, Yang-Bai Sun, Tie-Long Yang, Cheng Yan, Hui Liu, Jun Liu, Jing-Ning Huang, Ming-Han Wang, Zhen-Wei Yao, Ji-Long Yang, Zhi-Chao Wang, Qing-Feng Li:
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification. - Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder, Berthold Langguth, Thomas Probst, Rüdiger Pryss, Winfried Schlee:
Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data. - Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani:
A systematic review of machine learning applications in predicting opioid associated adverse events. - Shirley Shapiro Ben David, Roni Romano, Daniella Rahamim-Cohen, Joseph Azuri, Shira Greenfeld, Ben Gedassi, Uri Lerner:
AI driven decision support reduces antibiotic mismatches and inappropriate use in outpatient urinary tract infections. - Ruiqi Ma, Qian Cheng, Jing Yao, Zhiyu Peng, Mingxu Yan, Jie Lu, Jingjing Liao, Lejin Tian, Wenjun Shu, Yunqiu Zhang, Jinghan Wang, Pengfei Jiang, Weiyi Xia, Xiaofeng Li, Lu Gan, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Xiawei Wang, Xintong Lin, Haifeng Chen, Weifang Zhu, Dehui Xiang, Baoqing Nie, Jingtao Wang, Jie Guo, Kang Xue, Hongguang Cui, Jinwei Cheng, Xiangjia Zhu, Jiaxu Hong, Fei Shi, Rui Zhang, Xinjian Chen, Chen Zhao:
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses. - Thalia Richter, Reut Shani, Shachaf Tal, Nazanin Derakshan, Noga Cohen, Philip M. Enock, Richard J. McNally, Nilly Mor, Shimrit Daches, Alishia D. Williams, Jenny Yiend, Per Carlbring, Jennie M. Kuckertz, Wenhui Yang, Andrea Reinecke, Christopher G. Beevers, Brian E. Bunnell, Ernst H. W. Koster, Sigal Zilcha-Mano, Hadas Okon-Singer:
Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms. - Arjun Mahajan, Dylan Powell:
Improving authenticity and provenance in digital biomarkers: the case for digital watermarking. - Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari:
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Yun Hu, Joshua Wiley, Lulu Jiang, Xiyi Wang, Ran Yi, Jiehui Xu, Yanyan Liu, Aozhou Weng, Futai Zou, Eun-Ok Im:
Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective. - Robbin Romijnders, Arash Atrsaei, Rana Zia Ur Rehman, Lea Strehlow, Jèrôme Massoud, Chloe Hinchliffe, Victoria Macrae, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Geert Van Gassen, Frédéric Baribaud, Teemu Ahmaniemi, Meenakshi Chatterjee, Bruno Kusznir Vitturi, Clémence Pinaud, Jérôme Kalifa, Stefan Avey, Wan-Fai Ng, Clint Hansen, Nikolay V. Manyakov, Walter Maetzler:
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases. - Philip Hempel, Antônio H. Ribeiro, Marcus Vollmer, Theresa Bender, Marcus Dörr, Dagmar Krefting, Nicolai Spicher:
Explainable AI associates ECG aging effects with increased cardiovascular risk in a longitudinal population study. - Arvind Veluvali, Ashkan Dehghani Zahedani, Amir Hosseinian, Nima Aghaeepour, Tracey McLaughlin, Mark Woodward, Alex Ditullio, Noosheen Hashemi, Michael P. Snyder:
Impact of digital health interventions on glycemic control and weight management. - Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan:
Standardized patient profile review using large language models for case adjudication in observational research. - Jin Woo Choi, Chuyi Cui, Kevin B. Wilkins, Helen M. Bronte-Stewart:
N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease. - Agustina D. Saenz, Thomas McCoy, Allison Bryant Mantha, Robert Martin, Robert Damiano, Deborah Adair, David Heaney, Rachel Sisodia, Lee Park, Robert Forsberg, Gerry Tuffy, Shawn Murphy, Keith Dreyer, Martha Jones, Heather Jean Cosier, Merranda Logan, Yogendra Bundela, Amanda Centi, David Ting, Jacqueline G. You, Adam B. Landman, Rebecca Grochow Mishuris:
Author Correction: Establishing responsible use of AI guidelines: a comprehensive case study for healthcare institutions. - Laura M. König, Max J. Western, Andrea H. Denton, Rebecca Krukowski:
Umbrella review of social inequality in digital interventions targeting dietary and physical activity behaviors. - Mahnoor Ahmed, Tinglong Dai, Roomasa Channa, Michael D. Abràmoff, Harold P. Lehmann, Risa M. Wolf:
Cost-effectiveness of AI for pediatric diabetic eye exams from a health system perspective. - Xiang He, Fuwang Wu, Kaixuan Hu, Lizhen Cui, Weiye Song, Yi Wan:
Fusing multispectral information for retinal layer segmentation. - Zhen Yu, Toàn D. Nguyên, Lie Ju, Yaniv Gal, Maithili Sashindranath, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Hierarchical skin lesion image classification with prototypical decision tree. - Johnathon Edward Liddicoat, Gabriela Lenarczyk, Mateo Aboy, Timo Minssen, Sebastian Porsdam Mann:
A policy framework for leveraging generative AI to address enduring challenges in clinical trials. - Jun J. Mao, Karolina Bryl, Erin F. Gillespie, Angela Green, Tony K. W. Hung, Raymond Baser, Katherine Panageas, Michael A. Postow, Bobby Daly:
Randomized clinical trial of a digital integrative medicine intervention among patients undergoing active cancer treatment. - Jessie P. Bakker, Roland Barge, Jacob Centra, Bryan Cobb, Chas Cota, Christine Cong Guo, Bert Hartog, Nathalie Horowicz-Mehler, Elena S. Izmailova, Nikolay V. Manyakov, Samantha McClenahan, Stéphane Motola, Smit Patel, Oana Paun, Marian Schoone, Emre Sezgin, Thomas Switzer, Animesh Tandon, Willem van den Brink, Srinivasan Vairavan, Benjamin Vandendriessche, Bernard Vrijens, Jennifer C. Goldsack:
V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies. - Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyunwoo Shin, Hyung-Sin Kim:
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals. - Iván López, Akshay Swaminathan, Karthik S. Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Gallo, Nigam H. Shah, Jonathan H. Chen:
Clinical entity augmented retrieval for clinical information extraction. - Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, Karen Otte, Mehmed Halilovic, Bogdan Kulynych, Fabian Prasser, Jean Louis Raisaro:
A scoping review of privacy and utility metrics in medical synthetic data. - Tal El-Hay, Jenna Marie Reps, Chen Yanover:
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics. - Ching-Heng Lin, Zhi-Yong Liu, Pao-Hsien Chu, Jung-Sheng Chen, Hsin-Hsu Wu, Ming-Shien Wen, Chang-Fu Kuo, Ting-Yu Chang:
A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction. - Weiyang Deng, Megan K. O'Brien, Rachel A. Andersen, Richa Rai, Erin Jones, Arun Jayaraman:
A systematic review of portable technologies for the early assessment of motor development in infants. - Xiaohao Mao, Yu Huang, Ye Jin, Lun Wang, Xuanzhong Chen, Honghong Liu, Xinglin Yang, Haopeng Xu, Xiaodong Luan, Ying Xiao, Siqin Feng, Jiahao Zhu, Xuegong Zhang, Rui Jiang, Shuyang Zhang, Ting Chen:
A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs. - Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung:
Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events. - Hao Chen, Longfei Gou, Zhiwen Fang, Qi Dou, Haobin Chen, Chang Chen, Yuqing Qiu, Jinglin Zhang, Chenglin Ning, Yanfeng Hu, Haijun Deng, Jiang Yu, Guoxin Li:
Artificial intelligence assisted real-time recognition of intra-abdominal metastasis during laparoscopic gastric cancer surgery. - Chang Sun, Michel Dumontier:
Generating unseen diseases patient data using ontology enhanced generative adversarial networks. - Anne-Jet Jansen, Guido M. Peters, Laura Kooij, Carine J. M. Doggen, Wim H. van Harten:
Device based monitoring in digital care and its impact on hospital service use. - Hayoung Jeong, Ali R. Roghanizad, Hiral Master, Juseong Kim, Aymone Kouame, Paul A. Harris, Melissa A. Basford, Kayla Marginean, Jessilyn Dunn:
Data from the All of Us research program reinforces existence of activity inequality. - Rohit Singla, Nikola Pupic, Seyed-Aryan Ghaffarizadeh, Caroline Kim, Ricky Hu, Bruce B. Forster, Ilker Hacihaliloglu:
Author Correction: Developing a Canadian artificial intelligence medical curriculum using a Delphi study. - Robert Hogan, Sean R. Mathieson, Aurel Luca, Soraia Ventura, Sean Griffin, Geraldine B. Boylan, John M. O'Toole:
Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG. - Kimia Heydari, Elizabeth J. Enichen, Serena Wang, Grace C. Nickel, Joseph C. Kvedar:
A novel model for retinal imaging in the diagnosis of Alzheimer's disease. - Samuel F. Friedman, Shaan Khurshid, Rachael A. Venn, Xin Wang, Nathaniel Diamant, Paolo Di Achille, Lu-Chen Weng, Seung Hoan Choi, Christopher Reeder, James P. Pirruccello, Pulkit Singh, Emily S. Lau, Anthony A. Philippakis, Christopher D. Anderson, Mahnaz Maddah, Puneet Batra, Patrick T. Ellinor, Jennifer E. Ho, Steven A. Lubitz:
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling. - Roos J. Jutten, Daniel Soberanes, Cassidy P. Molinare, Stephanie Hsieh, Michelle E. Farrell, Aaron S. Schultz, Dorene M. Rentz, Gad A. Marshall, Keith A. Johnson, Reisa A. Sperling, Rebecca E. Amariglio, Kathryn V. Papp:
Detecting early cognitive deficits in preclinical Alzheimer's disease using a remote digital multi-day learning paradigm. - Jinghong Chen, Anqi Lin, Aimin Jiang, Chang Qi, Zaoqu Liu, Quan Cheng, Shuofeng Yuan, Peng Luo:
Computational frameworks transform antagonism to synergy in optimizing combination therapies. - Tathiany J. Ferreira, Igor C. Salvador, Carolina R. Pessanha, Renata R. M. da Silva, Aline D. Pereira, Maria A. Horst, Denise P. Carvalho, Josely C. Koury, Anna P. T. R. Pierucci:
Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method. - Alan Balendran, Céline Beji, Florie Bouvier, Ottavio Khalifa, Theodoros Evgeniou, Philippe Ravaud, Raphaël Porcher:
A scoping review of robustness concepts for machine learning in healthcare. - Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert:
Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation. - Siân Bladon, Emily Eisner, Sandra Bucci, Anuoluwapo Oluwatayo, Glen P. Martin, Matthew Sperrin, John D. Ainsworth, Sophie Faulkner:
A systematic review of passive data for remote monitoring in psychosis and schizophrenia. - Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu:
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms. - Chaoyi Wu, Pengcheng Qiu, Jinxin Liu, Hongfei Gu, Na Li, Ya Zhang, Yanfeng Wang, Weidi Xie:
Towards evaluating and building versatile large language models for medicine. - Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar:
A new metric to understand the association between heart rate variability and menstrual regularity. - Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd:
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology. - Joon Yul Choi, Doo Eun Kim, Sung Jin Kim, Hannuy Choi, Tae Keun Yoo:
Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction. - Mansoureh Yari Eili, Jalal Rezaeenour, Mohammad Hossein Roozbahani:
Predicting clinical pathways of traumatic brain injuries (TBIs) through process mining. - Vadim Gliner, Idan Levy, Kenta Tsutsui, Moshe Rav Acha, Jorge Schliamser, Assaf Schuster, Yael Yaniv:
Clinically meaningful interpretability of an AI model for ECG classification. - Casper van der Zee, Heshow Jamal, Marc Muijzer, Laurence Frank, Gerko Vink, Robert Wisse:
Real world data on digital remote refraction in a healthy population of 14,680 eyes. - Samir Akre, Zachary D. Cohen, Amelia Welborn, Tomislav D. Zbozinek, Brunilda Balliu, Michelle G. Craske, Alex A. T. Bui:
Comparing self reported and physiological sleep quality from consumer devices to depression and neurocognitive performance. - Yuta Takahashi, Hayato Idei, Misako Komatsu, Jun Tani, Hiroaki Tomita, Yuichi Yamashita:
Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data. - Sören Becker, Razieh Rezabeigisani:
The triple integration of data, users and policies required for successful climate health solutions. - Gabrielle Hoyer, Kenneth T. Gao, Felix G. Gassert, Johanna Luitjens, Fei Jiang, Sharmila Majumdar, Valentina Pedoia:
Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement. - Soraia de Camargo Catapan, Hannah Sazon, Sophie Zheng, Victor Gallegos-Rejas, Roshni Mendis, Pedro H. R. Santiago, Jaimon T. Kelly:
A systematic review of consumers' and healthcare professionals' trust in digital healthcare. - Lars Masanneck, Sven G. Meuth, Marc Pawlitzki:
Evaluating base and retrieval augmented LLMs with document or online support for evidence based neurology. - Hmayag Partamian, Saeed Jahromi, Ludovica Corona, M. Scott Perry, Eleonora Tamilia, Joseph R. Madsen, Jeffrey Bolton, Scellig S. Stone, Phillip L. Pearl, Christos L. Papadelis:
Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy. - Roma Shusterman, Allison C. Waters, Shannon O'Neill, Marshall Bangs, Phan Luu, Don M. Tucker:
An active inference strategy for prompting reliable responses from large language models in medical practice. - Giancarlo Speranza, Sven Mischkewitz, Fouad Al-Noor, Bernhard Kainz:
Value of clinical review for AI-guided deep vein thrombosis diagnosis with ultrasound imaging by non-expert operators. - Elizabeth J. Enichen, Kimia Heydari, Ben Li, Joseph C. Kvedar:
Telemedicine expands cardiovascular care in China - lessons for health equity in the United States. - Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun:
AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation. - Hugh Logan Ellis, Edward Palmer, James T. Teo, Martin Whyte, Kenneth Rockwood, Zina M. Ibrahim:
The early warning paradox. - Edwin F. Juarez, Bennet Peterson, Erica Sanford Kobayashi, Sheldon Gilmer, Laura E. Tobin, Brandan Schultz, Jerica Lenberg, Jeanne Carroll, Shiyu Bai-Tong, Nathaly M. Sweeney, Curtis Beebe, Lawrence Stewart, Lauren Olsen, Julie Reinke, Elizabeth A. Kiernan, Rebecca Reimers, Kristen Wigby, Chris Tackaberry, Mark Yandell, Charlotte Hobbs, Matthew N. Bainbridge:
A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit. - Xintian Yang, Tongxin Li, Han Wang, Rongchun Zhang, Zhi Ni, Na Liu, Huihong Zhai, Jianghai Zhao, Fandong Meng, Zhongyin Zhou, Shanhong Tang, Limei Wang, Xiangping Wang, Hui Luo, Gui Ren, Linhui Zhang, Xiaoyu Kang, Jun Wang, Ning Bo, Xiaoning Yang, Weijie Xue, Xiaoyin Zhang, Ning Chen, Rui Guo, Baiwen Li, Yajun Li, Yaling Liu, Tiantian Zhang, Shuhui Liang, Yong Lv, Yongzhan Nie, Daiming Fan, Lina Zhao, Yanglin Pan:
Multiple large language models versus experienced physicians in diagnosing challenging cases with gastrointestinal symptoms. - Jonas Bienzeisler, Alexander Kombeiz, Saskia Ehrentreich, Ronny Otto, Wiebke Schirrmeister, Marco Pegoraro, Dominik Brammen, Behrus Puladi, Rainer Röhrig, Raphael W. Majeed:
Implementation report on pioneering federated data access for the German National Emergency Department Data Registry. - Kenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, Ken Takasawa, Katsuji Takeda, Kota Matsui, Masashi Nishino, Tsutomu Hayashi, Yukinori Yamagata, Shigeyuki Matsui, Takaki Yoshikawa, Ryuji Hamamoto:
Establishment of a machine learning model for predicting splenic hilar lymph node metastasis. - Ella Goldschmidt, Ella Rannon, Daniel Bernstein, Asaf Wasserman, Michael Roimi, Anat Shrot, Dan Coster, Ron Shamir:
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection. - Brandon Theodorou, Benjamin P. Danek, Venkat Tummala, Shivam Pankaj Kumar, Bradley A. Malin, Jimeng Sun:
Improving medical machine learning models with generative balancing for equity and excellence. - Paige Nong, Eric Maurer, Roli Dwivedi:
The urgency of centering safety-net organizations in AI governance. - Parmanand Sharma, Naoki Takahashi, Takahiro Ninomiya, Masataka Sato, Takehiro Miya, Satoru Tsuda, Toru Nakazawa:
A hybrid multi model artificial intelligence approach for glaucoma screening using fundus images. - Marieke A. R. Bak, Daan Horbach, Alena Buyx, Stuart McLennan:
A scoping review of ethical aspects of public-private partnerships in digital health. - Yahan Zhou, Chen Chen, Jincao Yao, Jiabin Yu, Bojian Feng, Lin Sui, Yuqi Yan, Xiayi Chen, Yuanzhen Liu, Xiao Zhang, Hui Wang, Qianmeng Pan, Weijie Zou, Qi Zhang, Lu Lin, Chenke Xu, Shengxing Yuan, Qingquan He, Xiaofan Ding, Ping Liang, Vicky Yang Wang, Dong Xu:
A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules. - Fujiao He, Gang Li, Zhichao Zhang, Chaoran Yang, Zeyu Yang, Hao Ding, Dan Zhao, Wei Sun, Yu Wang, Kaihui Zeng, Xian Li, Mingming Shao, Jiao Yin, Jia Yao, Boxuan Hong, Zhibo Zhang, Zhengwei Yuan, Zongjie Weng, Luyao Zhou, Mo Zhang, Lizhu Chen:
Transfer learning method for prenatal ultrasound diagnosis of biliary atresia. - Gül Erdemli, Tina Murphy, Sarah Walinsky:
Regulatory considerations for successful implementation of digital endpoints in clinical trials for drug development. - Fabio Dennstädt, Janna Hastings, Paul Martin Putora, Max Schmerder, Nikola Cihoric:
Implementing large language models in healthcare while balancing control, collaboration, costs and security. - Andrew Yiu, Kapil Sahnan:
Ecosystems and monopolies in digital surgery. - Feng Gu, Andrew J. Meyer, Filip Jezek, Shuangdi Zhang, Tonimarie Catalan, Alexandria Miller, Noah A. Schenk, Victoria E. Sturgess, Domingo Uceda, Rui Li, Emily Wittrup, Xinwei Hua, Brian E. Carlson, Yi-Da Tang, Farhan Raza, Kayvan Najarian, Scott L. Hummel, Daniel A. Beard:
Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure. - Nicolas Coudray, Michelle C. Juarez, Maressa C. Criscito, Adalberto Claudio Quiros, Reason Wilken, Stephanie R. Jackson Cullison, Mary L. Stevenson, Nicole A. Doudican, Ke Yuan, Jamie D. Aquino, Daniel M. Klufas, Jeffrey P. North, Siegrid S. Yu, Fadi Murad, Emily Ruiz, Chrysalyne D. Schmults, Cristian D. Cardona Machado, Javier Cañueto, Anirudh Choudhary, Alysia N. Hughes, Alyssa Stockard, Zachary Leibovit-Reiben, Aaron R. Mangold, Aristotelis Tsirigos, John A. Carucci:
Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis. - Mehak Oberai, Zhiwei Xu, Aaron Bach, Connor Forbes, Ella Jackman, Fergus O'connor, Isabella Ennever, Sebastian Binnewies, Steven Baker, Shannon Rutherford:
A digital heat early warning system for older adults. - Raissa Souza, Emma A. M. Stanley, Anthony J. Winder, Chris Kang, Kimberly Amador, Erik Y. Ohara, Gabrielle Dagasso, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert:
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. - Benjamin S. C. Wade, Ryan Pindale, James Luccarelli, Shuang Li, Robert C. Meisner, Stephen J. Seiner, Joan A. Camprodon, Michael E. Henry:
Prediction of individual treatment allocation between electroconvulsive therapy or ketamine using the Personalized Advantage Index. - Wenyi Hu, Zhihong Lin, Malcolm Clark, Jacqueline Henwood, Xianwen Shang, Ruiye Chen, Katerina V. Kiburg, Lei Zhang, Zongyuan Ge, Peter van Wijngaarden, Zhuoting Zhu, Mingguang He:
Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trial. - Sanjiv M. Narayan, Nitin Kohli, Megan M. Martin:
Addressing contemporary threats in anonymised healthcare data using privacy engineering. - Daniel Arruda Navarro Albuquerque, Matheus Trotta Vianna, Luana Alencar Fernandes Sampaio, Andrei Vasiliu, Eduardo Henrique Cunha Neves Filho:
Systematic review and meta-analysis of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry. - Matrix M. H. Fung, Eric H. M. Tang, Tingting Wu, Yan Luk, Ivan C. H. Au, Xiaodong Liu, Victor H. F. Lee, Chun Ka Wong, Zhili Wei, Wing Yiu Cheng, Isaac C. Y. Tai, Joshua W. K. Ho, Jason W. H. Wong, Brian H. H. Lang, Kathy Leung, Zoie Shui-Yee Wong, Joseph T. Wu, Carlos K. H. Wong:
Developing a named entity framework for thyroid cancer staging and risk level classification using large language models. - Yunsu Byeon, Yae Won Park, Soohyun Lee, Doohyun Park, Hyungseob Shin, Kyunghwa Han, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sungsoo Ahn, Dosik Hwang:
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas. - Haley Mozier, Philip S. Murphy, Robert L. Janiczek, Mark Morris, Jennifer G. Cox, Hung Nguyen:
A systematic review of digital and imaging technologies for measuring fatigue in immune mediated inflammatory diseases. - Honghao Lai, Jiayi Liu, Chunyang Bai, Hui Liu, Bei Pan, Xufei Luo, Liangying Hou, Weilong Zhao, Danni Xia, Jinhui Tian, Yaolong Chen, Lu Zhang, Janne Estill, Jie Liu, Xing Liao, Nannan Shi, Xin Sun, Hongcai Shang, Zhaoxiang Bian, Kehu Yang, Luqi Huang, Long Ge, Haodong Li, Ye Wang, Huayu Zhang, Di Zhu, Dongrui Peng, Fan Wang, Yueyan Li, Shilin Tang, Hanxiang Liu, Zeming Li, Zhenhua Yang, Xuan Yu, Yishan Qin:
Language models for data extraction and risk of bias assessment in complementary medicine. - Frank E. Rademakers, Elisabetta Biasin, Nico Bruining, Enrico G. Caiani, Rhodri H. Davies, Stephen H. Gilbert, Eric Kamenjasevic, Gearóid McGauran, Gearóid O'Connor, Jean-Baptiste Rouffet, Baptiste Vasey, Alan G. Fraser:
CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software. - Panagiotis Fatouros, Charalampos Tsirmpas, Dimitrios Andrikopoulos, Sharon Kaplow, Konstantinos Kontoangelos, Charalabos Papageorgiou:
Randomized controlled study of a digital data driven intervention for depressive and generalized anxiety symptoms. - Stephen Gilbert, Rasmus Adler, Taras Holoyad, Eva Weicken:
Could transparent model cards with layered accessible information drive trust and safety in health AI? - Zhen Yu, Toàn D. Nguyên, Lie Ju, Yaniv Gal, Maithili Sashindranath, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge:
Author Correction: Hierarchical skin lesion image classification with prototypical decision tree. - Arjun Mahajan, Dylan Powell:
Generalist medical AI reimbursement challenges and opportunities. - Ravi Shankar, Anjali Bundele, Amartya Mukhopadhyay:
Natural language processing of electronic health records for early detection of cognitive decline: a systematic review. - Ziv Ben-Zion, Kristin Witte, Akshay K. Jagadish, Or Duek, Ilan Harpaz-Rotem, Marie-Christine Khorsandian, Achim Burrer, Erich Seifritz, Philipp Homan, Eric Schulz, Tobias Spiller:
Assessing and alleviating state anxiety in large language models. - Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xinyu Zhou, Lingfei Qian, Huan He, Dennis Shung, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian:
Medical foundation large language models for comprehensive text analysis and beyond. - Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, Abhijit Chakraborty, Apostolia M. Tsimberidou:
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology. - Matthias Braun:
How predictive medicine leads to solidarity gaps in health. - Tjardo Daniël Maarseveen, Herman Kasper Glas, Josien Veris-van Dieren, Erik van den Akker, Rachel Knevel:
Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters. - Su Hwan Kim, Severin Schramm, Lisa C. Adams, Rickmer Braren, Keno K. Bressem, Matthias Keicher, Paul-Sören Platzek, Karolin J. Paprottka, Claus Zimmer, Dennis M. Hedderich, Benedikt Wiestler:
Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports. - Mengxia Yu, Hongjia Yang, Haoteng Ye, Shuhuang Lin, Yujie Lu, Haoqiang Deng, Lulu Xu, Yongxin Guo, John S. Ho, Terry Tao Ye:
Smartphone administered pulsed radio frequency energy therapy for expedited cutaneous wound healing. - Ziming Wang, Xinxin Xia, Weijia Lu, Yuguo Ye, Jin Xu:
Assessment of priorities, quality, and inclusivity of digital therapeutics trials in China. - Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim M. Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton:
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. - Chen Chen, David C. Brown, Noor Al-Hammadi, Sayeh Bayat, Anne Dickerson, Brenda Vrkljan, Matthew Blake, Yiqi Zhu, Jean-François Trani, Eric J. Lenze, David B. Carr, Ganesh M. Babulal:
Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learning. - Steven Dykstra, Matthew Macdonald, Rhys Beaudry, Dina Labib, Melanie King, Yuanchao Feng, Jacqueline Flewitt, Jeff Bakal, Bing Lee, Stafford Dean, Marina Gavrilova, Paul W. M. Fedak, James A. White:
An institutional framework to support ethical fair and equitable artificial intelligence augmented care. - Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Richard J. E. Skipworth, Sotirios A. Tsaftaris, Stephen J. Wigmore, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'Neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang:
Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. - Harrison Trask Crane, John A. Berkebile, Samer Mabrouk, Nicholas Riccardelli, Omer T. Inan:
Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance. - Sushmita Adhikari, Iftikhar Ahmed, Deepak Bajracharya, Bishesh Khanal, Chandrasegarar Solomon, Kapila Jayaratne, Khondaker Abdullah Al Mamum, Muhammad Shamim Hayder Talukder, Sunila Shakya, Suresh Manandhar, Zahid Ali Memon, Moinul Haque Chowdhury, Ihtisham ul Islam, Noor Sabah Rakhshani, M. Imran Khan:
Transforming healthcare through just, equitable and quality driven artificial intelligence solutions in South Asia. - Zhiqiang Huo, John Booth, Thomas Monks, Philip Knight, Liam Watson, Mark J. Peters, Christina Pagel, Padmanabhan Ramnarayan, Kezhi Li:
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI. - Peter C. Nauka, Jason N. Kennedy, Emily B. Brant, Matthieu Komorowski, Romain Pirracchio, Derek C. Angus, Christopher W. Seymour:
Challenges with reinforcement learning model transportability for sepsis treatment in emergency care. - Charles Alba, Bing Xue, Joanna Abraham, Thomas George Kannampallil, Chenyang Lu:
The foundational capabilities of large language models in predicting postoperative risks using clinical notes. - Jacqueline G. You, Tina Hernandez-Boussard, Michael A. Pfeffer, Adam B. Landman, Rebecca Grochow Mishuris:
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications. - Hanlin Ding, Wenjie Xia, Yujia Zhou, Lei Wei, Yipeng Feng, Zi Wang, Xuming Song, Rutao Li, Qixing Mao, Bing Chen, Hui Wang, Xing Huang, Bin Zhu, Dongyu Jiang, Jingyu Sun, Gaochao Dong, Feng Jiang:
Evaluation and practical application of prompt-driven ChatGPTs for EMR generation. - Julia C. Spinelli, Brandon J. Suleski, Donald E. Wright, Joseph L. Grow, Gabriel R. Fagans, Maura J. Buckley, Da Som Yang, Kaitao Yang, Steven M. Beil, Jessica C. Wallace, Thomas S. Dizoglio, Jeffrey B. Model, Shirley Love, David E. Macintosh, Alan P. Scarth, Matthew T. Marrapode, Corinna Serviente, Raudel Avila, Barrak K. Alahmad, Michael A. Busa, John A. Wright, Weihua Li, Douglas J. Casa, John A. Rogers, Stephen P. Lee, Roozbeh Ghaffari, Alexander J. Aranyosi:
Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workers. - Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt:
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. - Yuan Luo, Yikuan Li, Omolola Ogunyemi, Eileen Koski, Blanca E. Himes:
Leveraging large language models for academic conference organization. - Peyman Ghasemi, Matthew Greenberg, Danielle A. Southern, Bing Li, James A. White, Joon Lee:
Personalized decision making for coronary artery disease treatment using offline reinforcement learning. - Jee Suk Chang, Hyunwook Kim, Eun Sil Baek, Jeong Eun Choi, Joon Seok Lim, Jin Sung Kim, Sang Joon Shin:
Continuous multimodal data supply chain and expandable clinical decision support for oncology. - Mostafa A. Al-Alusi, Samuel F. Friedman, Shinwan Kany, Joel T. Rämö, Daniel Pipilas, Pulkit Singh, Christopher Reeder, Shaan Khurshid, James P. Pirruccello, Mahnaz Maddah, Jennifer E. Ho, Patrick T. Ellinor:
A deep learning digital biomarker to detect hypertension and stratify cardiovascular risk from the electrocardiogram. - Jiong Shu, Jingyuan Shao, Lingling Liu, Xiang Huang, Yuxiang Mao, Huabao Chen, Xiangli Cui, Bingbing Li, Jie Jia, Zhenle Fei, Zongtao Hu, Xianjun Yang, Yannan Chu, Hongzhi Wang:
A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy.
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