Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51523, first published .
Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

Journals

  1. Saleem N, Mufti T, Sohail S, Madsen D. ChatGPT as an innovative heutagogical tool in medical education. Cogent Education 2024;11(1) View
  2. Meo S, Alotaibi M, Meo M, Meo M, Hamid M. Medical knowledge of ChatGPT in public health, infectious diseases, COVID-19 pandemic, and vaccines: multiple choice questions examination based performance. Frontiers in Public Health 2024;12 View
  3. Vaishya R, Iyengar K, Patralekh M, Botchu R, Shirodkar K, Jain V, Vaish A, Scarlat M. Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions—an observational study. International Orthopaedics 2024 View
  4. Tepe M, Emekli E. Decoding medical jargon: The use of AI language models (ChatGPT-4, BARD, microsoft copilot) in radiology reports. Patient Education and Counseling 2024;126:108307 View
  5. Tepe M, Emekli E. Assessing the Responses of Large Language Models (ChatGPT-4, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Breast Imaging: A Study on Readability and Accuracy. Cureus 2024 View
  6. Kaneda Y, Tayuinosho A, Tomoyose R, Takita M, Hamaki T, Tanimoto T, Ozaki A. Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine. Journal of Evaluation in Clinical Practice 2024 View