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?

How Can the Clinical Aptitude of AI Assistants Be Assayed?

Authors of this article:

Arun James Thirunavukarasu1, 2 Author Orcid Image

Journals

  1. 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
  2. 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
  3. 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
  4. Anbumani S, Ahunbay E. Toward the Clinically Effective Evaluation of Artificial Intelligence–Generated Responses. JCO Clinical Cancer Informatics 2024;(8) View

Books/Policy Documents

  1. Pondel M, Chomiak-Orsa I, Sobińska M, Grzelak W, Kotwica A, Małowiecki A, Łuczak K, Greńczuk A, Busch P, Chudán D, Berka P. Emerging Challenges in Intelligent Management Information Systems. View