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

IF 1.8 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Lynden J Roberts, Rajiv Jayasena, Sankalp Khanna, Leslie Arnott, Paul Lane, Chris Bain
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引用次数: 0

Abstract

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
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.
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