"Leveraging large language models for automated detection of velopharyngeal ..."

Myranda Uselton Shirk et al. (2025)

> Home

Details and statistics

DOI: 10.3389/FDGTH.2025.1552746

access: open

type: Journal Article

metadata version: 2025-08-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/fdgth/ShirkDCCHBLJGHASPP25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fdgth/ShirkDCCHBLJGHASPP25
Myranda Uselton Shirk, Catherine Dang, Jaewoo Cho, Hanlin Chen, Lily Hofstetter, Jack Bijur, Claiborne Lucas, Andrew James, Ricardo-Torres Guzman, Andrea Hiller, Noah Alter, Amy Stone, Maria Powell, Matthew E. Pontell:
Leveraging large language models for automated detection of velopharyngeal dysfunction in patients with cleft palate. Frontiers Digit. Health 7 (2025)

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.