人工智能与医疗诊断：过去、现在和未来。

IF 2 Q2 MEDICINE, GENERAL & INTERNAL

Diagnosis Pub Date : 2025-09-10 DOI:10.1515/dx-2025-0111

Edward P Hoffer, Cornelius A James, Andrew Wong, Sumant Ranji

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引用次数: 0

摘要

NASEM报告建议，如果仔细实施，卫生信息技术可以减少诊断错误。基于计算机的诊断决策支持系统有着悠久的历史，但迄今为止还没有对临床实践产生重大影响。目前的研究表明，人工智能支持的决策支持系统，适当地集成到临床工作流程中，将在减少诊断错误方面发挥越来越大的作用。本文讨论了人工智能在诊断领域的发展历史、现状和展望。

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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Artificial intelligence and medical diagnosis: past, present and future.

The NASEM report suggested that health information technology could reduce diagnostic error if carefully implemented. Computer-based diagnostic decision support systems have a long history, but to date have not had major impact on clinical practice. Current research suggests that AI-enabled decision support systems, properly integrated into clinical workflows, will have a growing role in reducing diagnostic error. The history, current landscape and anticipated future of AI in diagnosis are discussed in this paper.

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来源期刊

Diagnosis MEDICINE, GENERAL & INTERNAL-

CiteScore

7.20

自引率

5.70%

发文量

期刊介绍： Diagnosis focuses on how diagnosis can be advanced, how it is taught, and how and why it can fail, leading to diagnostic errors. The journal welcomes both fundamental and applied works, improvement initiatives, opinions, and debates to encourage new thinking on improving this critical aspect of healthcare quality.　 Topics: -Factors that promote diagnostic quality and safety -Clinical reasoning -Diagnostic errors in medicine -The factors that contribute to diagnostic error: human factors, cognitive issues, and system-related breakdowns -Improving the value of diagnosis – eliminating waste and unnecessary testing -How culture and removing blame promote awareness of diagnostic errors -Training and education related to clinical reasoning and diagnostic skills -Advances in laboratory testing and imaging that improve diagnostic capability -Local, national and international initiatives to reduce diagnostic error