在临床医疗保健中实施生成式人工智能（GenAI）的挑战。

IF 1.5 4区医学 Q2 MEDICINE, GENERAL & INTERNAL

Internal Medicine Journal Pub Date : 2025-03-26 DOI:10.1111/imj.70035

Lynden J. Roberts, Rajiv Jayasena, Sankalp Khanna, Leslie Arnott, Paul Lane, Chris Bain

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引用次数: 0

摘要

生成式人工智能（GenAI）是一种基于推理的深度学习人工智能，在医疗保健领域具有巨大潜力。它具有多种功能：GenAI擅长复杂的人类语言交流，从大型和多样化的数据集合成信息，并可靠地执行广泛而复杂的任务。其他重要的功能包括可扩展性、“始终在线”和成本效益。总的来说，基因人工智能技术在医疗保健领域似乎具有相当大的潜力。然而，实施也带来了一些挑战，包括技术问题、监管考虑、劳动力影响和建立信任。利用证据和专家意见来探讨这些问题，本综述旨在向临床专家介绍这一快速发展的领域。

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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Challenges for implementing generative artificial intelligence (GenAI) into clinical healthcare

Generative artificial intelligence (GenAI) is a form of deep learning AI based on inference that offers significant potential in healthcare. It has versatile capabilities: GenAI excels in complex human language communication, synthesising information from large and diverse datasets and performing broad, complex tasks reliably. Other important capabilities include scalability, ‘always on’ and cost effectiveness. Taken together, GenAI technology appears to possess considerable potential for healthcare. However, the implementation poses several challenges, including technological problems, regulatory considerations, workforce impact and building trust. Using evidence and expert opinion to explore these issues, the review aims to inform clinical experts about this rapidly evolving field.

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来源期刊

Internal Medicine Journal 医学-医学：内科

CiteScore

3.50

自引率

4.80%

发文量

600

审稿时长

3-6 weeks

期刊介绍： The Internal Medicine Journal is the official journal of the Adult Medicine Division of The Royal Australasian College of Physicians (RACP). Its purpose is to publish high-quality internationally competitive peer-reviewed original medical research, both laboratory and clinical, relating to the study and research of human disease. Papers will be considered from all areas of medical practice and science. The Journal also has a major role in continuing medical education and publishes review articles relevant to physician education.