Analysis of gene expression in tumour immortalisation

Available from British Library Document Supply Centre- DSC:DXN059136 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

COVID-19 and the impact on surgical training and education in Singapore

10.1016/j.heliyon.2022.e08731HELIYON8

Is there an optimal environment in which to learn clinical anatomy? One man's view

Forensic Medicine and Anatomy Research (FMAR)21United State

Singapore's anatomical future: Quo Vadis?

10.1002/ase.1286ANATOMICAL SCIENCES EDUCATION54234-240United State

Maintaining quality of care in colorectal cancer surgery during theCOVID-19 pandemic

10.1002/bjs.11866BRITISH JOURNAL OF SURGERY10710E422-E42

ChatGPT versus human in generating medical graduate exam multiple choice questions-A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom).

IntroductionLarge language models, in particular ChatGPT, have showcased remarkable language processing capabilities. Given the substantial workload of university medical staff, this study aims to assess the quality of multiple-choice questions (MCQs) produced by ChatGPT for use in graduate medical examinations, compared to questions written by university professoriate staffs based on standard medical textbooks.Methods50 MCQs were generated by ChatGPT with reference to two standard undergraduate medical textbooks (Harrison's, and Bailey & Love's). Another 50 MCQs were drafted by two university professoriate staff using the same medical textbooks. All 100 MCQ were individually numbered, randomized and sent to five independent international assessors for MCQ quality assessment using a standardized assessment score on five assessment domains, namely, appropriateness of the question, clarity and specificity, relevance, discriminative power of alternatives, and suitability for medical graduate examination.ResultsThe total time required for ChatGPT to create the 50 questions was 20 minutes 25 seconds, while it took two human examiners a total of 211 minutes 33 seconds to draft the 50 questions. When a comparison of the mean score was made between the questions constructed by A.I. with those drafted by humans, only in the relevance domain that the A.I. was inferior to humans (A.I.: 7.56 +/- 0.94 vs human: 7.88 +/- 0.52; p = 0.04). There was no significant difference in question quality between questions drafted by A.I. versus humans, in the total assessment score as well as in other domains. Questions generated by A.I. yielded a wider range of scores, while those created by humans were consistent and within a narrower range.ConclusionChatGPT has the potential to generate comparable-quality MCQs for medical graduate examinations within a significantly shorter time