Background: Recent studies, including those by the National Board of Medical Examiners, have highlighted the remarkable capabilities of recent large language models (LLMs) such as ChatGPT in passing the United States Medical Licensing Examination (USMLE). However, there is a gap in detailed analysis of LLM performance in specific medical content areas, thus limiting an assessment of their potential utility in medical education.
Objective: This study aimed to assess and compare the accuracy of successive ChatGPT versions (GPT-3.
Introduction: Partnering for Change (P4C) is an innovative practice model for school-based occupational therapy developed in Canada and informed by a program of research spanning nearly two decades. National and international interest in P4C necessitated development of an explanatory theory to guide implementation in varied contexts. The purpose of this study is to document the process of theory development and to provide an overview of the initial P4C explanatory theory.
View Article and Find Full Text PDFBackground: Recent studies, including those by the National Board of Medical Examiners (NBME), have highlighted the remarkable capabilities of recent large language models (LLMs) such as ChatGPT in passing the United States Medical Licensing Examination (USMLE). However, there is a gap in detailed analysis of these models' performance in specific medical content areas, thus limiting an assessment of their potential utility for medical education.
Objective: To assess and compare the accuracy of successive ChatGPT versions (GPT-3.