default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID2nd AIiH 2025: Cambridge, UK - Part I
- Daniele Cafolla, Timothy Rittman, Hao Ni:
Artificial Intelligence in Healthcare - Second International Conference, AIiH 2025, Cambridge, UK, September 8-10, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16038, Springer 2026, ISBN 978-3-032-00651-6
Ethics of AI in Healthcare
- Xiao Xiao
, Jiaxu Zhao, Terry R. Payne, Meng Fang:
Empirical Study of Social Bias in Medical Question Answering via Large Language Models. 3-16 - Nur Alesha Zahra, Zad Chin:
Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMs. 17-29
Early Diagnosis and Prevention
- Asif Azad, Md. Saiful Islam, Mohammed E. Hoque, M. Saifur Rahman:
Beyond Accuracy: Enhancing Parkinson's Diagnosis with Uncertainty Quantification of Machine Learning Models. 33-46 - Julia Zakaszewska, Justyna Fercho, Piotr Fonferek, Katarzyna Konieczna, Hanna Lisowska, Jakub Sadowy, Daria Binerowska, Maciej Pestka, Michalina Dudra, Weronika Jagielo, Klaudia Kokot, Dariusz Szplit, Jacek Szypenbejl, Tomasz Szmuda, Mariusz Sieminski, Patryk Jasik:
Feature Extraction from Medical Records to Increase the Accuracy of Intracranial Aneurysm Rupture Likelihood. 47-56 - Boitumelo Matlala, Dustin van der Haar, Hima Vadapalli:
Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning. 57-67 - Muhammad Usama Faheem, Rudy Lapeer, Beatriz de la Iglesia, Rahul Gore, Rowan Connell, Wenjia Wang:
Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. 68-81 - Gage Nott, Hima Vadapalli, Dustin van der Haar:
Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-saharan Africa. 82-95 - Mohamed Adlan Ait Ameur, Erfu Yang, William J. McGeown, Yin-Ping Zhang:
MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention. 96-109 - Suhad Malayshi, Ahmad Hassasneh:
Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model. 110-124 - Delnia Alipour, Olga Perepelkina, Simone Stumpf:
Markers of Fibromyalgia: Classification and Subtyping Using Self-reported Measures. 125-138 - Sara Vecino, Gloria Acevedo-Diaz, Daniel Fernández Lanvin, Javier de Andrés, Martín González Rodríguez:
Early Objective ASD Screening System Based on Eye-Tracking and Machine Learning. 139-153
Proactive Care and Predictive Intervention
- A. Nicosia, Nunzio Cancilla, E. Di Liberti, José D. Martín-Guerrero, Yolanda Vives-Gilabert, A. Ferrantelli, F. Iacono, Valerio M. B. Brucato, Vincenzo La Carrubba, Ilenia Tinnirello, Andrea Cipollina:
Performance Comparison of Machine Learning Models for the Prediction of Dialysis Treatment Variables. 157-170 - A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Kelvin Ross, Brent Richards, Kuldeep Kumar, Luke J. Haseler, Ping Zhang:
Dynamic and Explainable Mortality Risk Prediction for TBI Patients in the ICU. 171-184 - Divya Biligere Shivanna, Roopa S. Rao, Tushar Patil, Lichingngamba Tensubam, Sowmya Gujjar Vishnu Rao, Ashok Lingappa:
Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs Using Deep Learning. 185-199 - Hajar Chadli, Biao Zeng, Xiaoyu Zhou:
Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Test. 200-212 - Asaju Christine Bukola, Hima Vadapalli:
Affective State and Pain Estimation Through Facial Emotion Analysis. 213-226 - Jonas Leo Mueller, Alexander Weiss, Bjoern M. Eskofier:
Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching. 227-241
Predictive Analytics in Healthcare
- Sheresh Zahoor, Pietro Lió, Gaël Dias, Mohammed Hasanuzzaman:
Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction. 245-262 - Angelo Giordano, Nunzio Cancilla, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Michele Ciofalo, Giorgio Micale, Alessandro Tamburini:
A Machine Learning-Based Surrogate Model of a Hemodialyzer for the Prediction of the Urea Dialyzer Clearance. 263-276
Multimodal Generative AI
- Farheen Ramzan, Yusuf Kiberu, Nikesh Jathanna, Shahnaz Jamil-Copley, Richard H. Clayton, Chen Chen:
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation. 279-292 - Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah:
DiabEye-Q: AI-Driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari Adults. 293-306
Healthcare Workflow Optimisation and Automation
- Chayenne van de Graaf, Tom Huibers, Wishnu Prasetya, Sjaak Brinkkemper:
Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare. 309-323 - Mihir Mulye, Stefan Conrad, Stefan Knecht:
Exploring Applicability of Text-to-Image Models for Generating Aphasia Rehabilitation Material. 324-338 - Margarita Deli-Slavova, Julian Hough:
Evaluating the Feasibility of Using Smaller Large Language Models for Generating Impressions from Findings in Radiology Reports. 339-350
Machine and Deep Learning Approaches for Health Data
- Yihan Deng, Kerstin Denecke:
A Comparison of Potentials and Limitations of Transformer Models for Aspect-Based Medical Sentiment Analysis. 353-366 - Yuan Zhu, Cord Spreckelsen, Maximilian Schilling, Sasanka Potluri:
Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory. 367-380 - Thomas Greatrix, Frank C. Langbein, Roger M. Whitaker, Gualtiero B. Colombo, Liam D. Turner:
High-Confidence Labelling of Pathology Reports Using LLM-Based Unanimous Ensembles with Limited Data. 381-395 - Charalambos Chrysostomou:
Physicochemical-Based Deep Learning for Allergenicity Prediction. 396-407 - Charalambos Chrysostomou, Constantinos Dovrolis:
Multi-modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification. 408-421 - Asifa Mehmood Qureshi, Abhishek Kaushik, Róisín Loughran, Fergal McCaffery:
BCONDS: Borderline Counterfactual Oversampling with Noise Elimination and Density Scoring. 422-432
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-04 01:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
