This paper is in the following e-collection/theme issue:

Artificial Intelligence (AI) in Medical Education (50) e-Learning and Medical Education (645) Theme Issue: ChatGPT and Generative Language Models in Medical Education (66) Generative Language Models Including ChatGPT (201) Natural Language Processing (637)

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

Authors of this article:

Faiza Farhat1 Author Orcid Image ;   Beenish Moalla Chaudhry2 Author Orcid Image ;   Mohammad Nadeem3 Author Orcid Image ;   Shahab Saquib Sohail4 Author Orcid Image ;   Dag Øivind Madsen5 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

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
  7. Qamar M, Yasmeen J, Pathak S, Sohail S, Madsen D, Rangarajan M. Big claims, low outcomes: fact checking ChatGPT’s efficacy in handling linguistic creativity and ambiguity. Cogent Arts & Humanities 2024;11(1) View
  8. Paul S, Govindaraj S, Jk J. ChatGPT Versus National Eligibility cum Entrance Test for Postgraduate (NEET PG). Cureus 2024 View