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Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172.为健康专业教育中的人工通用智能(AGI)做准备:AMEE 指南第 172 号。
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Artificial intelligence in medical education: a cross-sectional needs assessment.人工智能在医学教育中的应用:一项横断面需求评估。
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Artificial Intelligence in Undergraduate Medical Education: A Scoping Review.人工智能在本科医学教育中的应用:范围综述。
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High-performance medicine: the convergence of human and artificial intelligence.高性能医学:人机智能融合。
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医学教育学会人工智能会议调查:人工智能对医学教育教师的影响

IAMSE Artificial Intelligence Meeting Survey: AI's Impact on Medical Education Faculty.

作者信息

McKell Douglas, McCoy Lise, Niño Diego F

机构信息

The College of Population Health, Thomas Jefferson University, Philadelphia, PA USA.

New York Institute of Technology, College of Osteopathic Medicine, Jonesboro, AR USA.

出版信息

Med Sci Educ. 2024 Nov 14;34(6):1641-1646. doi: 10.1007/s40670-024-02163-0. eCollection 2024 Dec.

DOI:10.1007/s40670-024-02163-0
PMID:39758482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11699010/
Abstract

This report describes the results of an AI Needs Assessment survey conducted during the IAMSE Annual Meeting in June 2024. It assessed IAMSE members' use of AI, implementation challenges, their organization's AI initiatives, and internal and external resources needed for effective AI adoption. Although many respondents were comfortable with AI (53%), they reported substantial challenges in adopting AI at the personal and organizational levels. A high percentage of institutions were at the initial stages of integrating AI (86%). Most respondents requested online training and a certificate course (53%).

摘要

本报告介绍了2024年6月在国际医学科学教育者协会(IAMSE)年会上进行的人工智能需求评估调查结果。该调查评估了IAMSE成员对人工智能的使用情况、实施挑战、其所在机构的人工智能举措以及有效采用人工智能所需的内部和外部资源。尽管许多受访者对人工智能感到满意(53%),但他们表示在个人和组织层面采用人工智能存在重大挑战。高比例的机构处于整合人工智能的初始阶段(86%)。大多数受访者要求提供在线培训和证书课程(53%)。