OBJECTIVE: The assessment of written medical examinations is a tedious and expensive process, requiring significant amounts of time from medical experts. Our objective was to develop a natural language processing (NLP) system that can expedite the as...
BACKGROUND: Authorship in research is crucial for academic recognition and accountability; however, there remain discrepancies throughout institutions regarding authorship inclusion. This review aimed to evaluate the similarities, variations and dist...
BACKGROUND: As generative artificial intelligence (AI), ChatGPT provides easy access to a wide range of information, including factual knowledge in the field of medicine. Given that knowledge acquisition is a basic determinant of physicians' performa...
The application of artificial intelligence (AI) in healthcare has increased due to rapid digitization and integration of computer science in all fields. However, the outcome in relation to patient treatment and healthcare delivery is not that visible...
Academic medicine : journal of the Association of American Medical Colleges
Oct 1, 2021
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...
AIM: To assess the attitude about the importance of introducing education on artificial intelligence (AI) in medical schools' curricula among physicians whose everyday job is significantly impacted by AI.
Academic medicine : journal of the Association of American Medical Colleges
Dec 1, 2017
The rapid explosion of medical knowledge of the 19th and 20th centuries required a transformation in medical education, which, to that point, had been marked by low educational standards. To combat the lack of regulation, the 1910 Flexner Report reco...
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