Skip to content
DraconiticResearch
Search Sources API
182,549 studies31 sourcesUpdated 53 min ago
Peer-reviewedLicence not statedHand (New York, N.Y.)

Performance of Large Language Models in Image-Based Evaluation of Dupuytren Contracture

  1. 1Mayo Clinic Alix School of Medicine, Scottsdale, AZ, USA
  2. 2George Washington University, Washington, DC, USA
  3. 3Mayo Clinic, Phoenix, AZ, USA

Related

  1. Diagnostic and Triage Performance of Large Language Models in Hand and Wrist Complaints: A Standardised Vignette Evaluation
    Callum M. Counihan, Rory J. D. Duncan, Max G. Bullock +1
    Hand (New York, N.Y.)Peer-reviewedLicence not statedFull textEpidemiology & public healthPMC
  2. Evaluation of the performance and temporal variability of large language models in patient education regarding pneumothorax: a seven-day analysis
    Ömer Önal, Suzan Temiz Bekce
    Scientific ReportsPeer-reviewedCC BYFull text1 citedEpidemiology & public healthDOAJ
  3. Performance of five large language models in frozen shoulder patient education: a multidimensional evaluation of readability, quality, clinical alignment, and safety
    Jiachen Liang, Wanying Gui, Huanan Li
    Scientific ReportsPeer-reviewedCC BY 4.0Full text1 citedEpidemiology & public healthCrossref
  4. Benchmarking the performance of large language models on medical genetics questions: a comparative evaluation of GPT-5.1, Gemini Pro 3, and Claude Opus 4.5.
    Muserref Basdemirci, Melek Tassoker
    Frontiers in medicinePeer-reviewedCC BYFull text1 citedEpidemiology & public healthEurope PMCPMC
  5. Performance evaluation and benchmarking across 16 large language model configurations on a large real-world emergency department triage data set
    L. Benning, A. Hirsch, M. Groeschel +7
    medRxivPreprintCC BY-NC-NDFull text1 citedEpidemiology & public healthmedRxiv
BibTeX
@article{romero2026performance,
  title = {{Performance of Large Language Models in Image-Based Evaluation of Dupuytren Contracture}},
  author = {Matthew Romero and Shaw Hu and Shelley Noland},
  journal = {Hand (New York, N.Y.)},
  year = {2026},
  month = oct,
  doi = {10.1177/15589447261495085},
  url = {https://doi.org/10.1177/15589447261495085},
}
RIS
TY  - JOUR
TI  - Performance of Large Language Models in Image-Based Evaluation of Dupuytren Contracture
AU  - Matthew Romero
AU  - Shaw Hu
AU  - Shelley Noland
PY  - 2026
DA  - 2026/10/27
JO  - Hand (New York, N.Y.)
DO  - 10.1177/15589447261495085
UR  - https://doi.org/10.1177/15589447261495085
SN  - 1558-9447
SN  - 1558-9455
ER  -