The Role of Artificial Intelligence in Medical Education: A Systematic Review

IF 1.2 4区医学 Q3 SURGERY

Surgical Innovation Pub Date : 2024-04-18 DOI:10.1177/15533506241248239

Atinc Tozsin, Harun Ucmak, Selim Soyturk, Abdullatif Aydin, Ali Serdar Gozen, Maha Al Fahim, Selcuk Güven, Kamran Ahmed

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引用次数: 0

Abstract

BackgroundTo examine the artificial intelligence (AI) tools currently being studied in modern medical education, and critically evaluate the level of validation and the quality of evidence presented in each individual study.MethodsThis review (PROSPERO ID: CRD42023410752) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. A database search was conducted using PubMed, Embase, and Cochrane Library. Articles written in the English language between 2000 and March 2023 were reviewed retrospectively using the MeSH Terms “AI” and “medical education” A total of 4642 potentially relevant studies were found.ResultsAfter a thorough screening process, 36 studies were included in the final analysis. These studies consisted of 26 quantitative studies and 10 studies investigated the development and validation of AI tools. When examining the results of studies in which Support vector machines (SVMs) were employed, it has demonstrated high accuracy in assessing students’ experiences, diagnosing acute abdominal pain, classifying skilled and novice participants, and evaluating surgical training levels. Particularly in the comparison of surgical skill levels, it has achieved an accuracy rate of over 92%.ConclusionAI tools demonstrated effectiveness in improving practical skills, diagnosing diseases, and evaluating student performance. However, further research with rigorous validation is required to identify the most effective AI tools for medical education.

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人工智能在医学教育中的作用：系统回顾

背景研究目前在现代医学教育中正在研究的人工智能（AI）工具，并对每项研究的验证水平和证据质量进行严格评估。使用 PubMed、Embase 和 Cochrane Library 进行了数据库检索。结果经过全面筛选，36 项研究被纳入最终分析。这些研究包括 26 项定量研究和 10 项关于人工智能工具开发和验证的研究。在对使用支持向量机（SVM）的研究结果进行检查时，发现其在评估学生经验、诊断急性腹痛、对熟练学员和新手学员进行分类以及评估外科培训水平等方面都表现出很高的准确性。结论人工智能工具在提高实践技能、诊断疾病和评估学生成绩方面表现出了有效性。然而，要确定最有效的医学教育人工智能工具，还需要进一步的研究和严格的验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Surgical Innovation 医学-外科

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).