Published on in Vol 25 (2023)
This is a member publication of University of Oxford (Jisc)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/51603, first published
.
![How Can the Clinical Aptitude of AI Assistants Be Assayed? How Can the Clinical Aptitude of AI Assistants Be Assayed?](https://asset.jmir.pub/assets/1158c419fe06fec5faa2d20ebb68a1a2.png 480w,https://asset.jmir.pub/assets/1158c419fe06fec5faa2d20ebb68a1a2.png 960w,https://asset.jmir.pub/assets/1158c419fe06fec5faa2d20ebb68a1a2.png 1920w,https://asset.jmir.pub/assets/1158c419fe06fec5faa2d20ebb68a1a2.png 2500w)
Journals
- Thirunavukarasu A, Elangovan K, Gutierrez L, Hassan R, Li Y, Tan T, Cheng H, Teo Z, Lim G, Ting D. Clinical performance of automated machine learning: A systematic review. Annals of the Academy of Medicine, Singapore 2024;53(3 - Correct DOI):187 View
- Thirunavukarasu A, Elangovan K, Gutierrez L, Hassan R, Li Y, Tan T, Cheng H, Teo Z, Lim G, Ting D. Clinical performance of automated machine learning: A systematic review. Annals of the Academy of Medicine, Singapore 2024;53(3):187 View
- Thirunavukarasu A, Mahmood S, Malem A, Foster W, Sanghera R, Hassan R, Zhou S, Wong S, Wong Y, Chong Y, Shakeel A, Chang Y, Tan B, Jain N, Tan T, Rauz S, Ting D, Ting D, Luo M. Large language models approach expert-level clinical knowledge and reasoning in ophthalmology: A head-to-head cross-sectional study. PLOS Digital Health 2024;3(4):e0000341 View