Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare.

Medical review (Berlin, Germany) Pub Date : 2026-01-29 eCollection Date: 2026-02-01 DOI:10.1515/mr-2025-0074
Man-Cheong Fung
{"title":"Beyond the hype: navigating the real-world applications of artificial intelligence (AI) in healthcare.","authors":"Man-Cheong Fung","doi":"10.1515/mr-2025-0074","DOIUrl":null,"url":null,"abstract":"<p><p>The integration of Artificial Intelligence (AI) into healthcare signifies one of the most formidable and multifaceted advancements in contemporary medicine. The relentless pace of innovation necessitates a timely synthesis of the field's trajectory, critically evaluating both the promises and complexities of this ongoing transformation. This report aims to map the expansive terrain of AI's deployment across critical healthcare sectors, encompassing clinical decision support, diagnostic imaging, pharmaceutical innovation, biomedical research, and regulatory review. It begins with an analysis of the opportunities and challenges inherent in the real-world implementation of AI technologies, systematically categorizing their adoption and utilities into three core domains: (1) clinical informatics and healthcare delivery, (2) clinical sciences and therapeutic interventions, and (3) drug development and biomedical investigation. Thereafter, the discussion turns to AI's role within the regulatory landscape for drug and medical product reviews and approvals. Adopting a progressive outlook, the author formulates strategic recommendations aimed at surmounting potential barriers, thus facilitating the judicious, efficacious, and equitable integration of AI. Collectively, these analyses provide a narrative that highlights both the transformative potential and the pragmatic imperatives of deploying AI to improve human health.</p>","PeriodicalId":74151,"journal":{"name":"Medical review (Berlin, Germany)","volume":"6 1","pages":"14-34"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12955354/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical review (Berlin, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/mr-2025-0074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The integration of Artificial Intelligence (AI) into healthcare signifies one of the most formidable and multifaceted advancements in contemporary medicine. The relentless pace of innovation necessitates a timely synthesis of the field's trajectory, critically evaluating both the promises and complexities of this ongoing transformation. This report aims to map the expansive terrain of AI's deployment across critical healthcare sectors, encompassing clinical decision support, diagnostic imaging, pharmaceutical innovation, biomedical research, and regulatory review. It begins with an analysis of the opportunities and challenges inherent in the real-world implementation of AI technologies, systematically categorizing their adoption and utilities into three core domains: (1) clinical informatics and healthcare delivery, (2) clinical sciences and therapeutic interventions, and (3) drug development and biomedical investigation. Thereafter, the discussion turns to AI's role within the regulatory landscape for drug and medical product reviews and approvals. Adopting a progressive outlook, the author formulates strategic recommendations aimed at surmounting potential barriers, thus facilitating the judicious, efficacious, and equitable integration of AI. Collectively, these analyses provide a narrative that highlights both the transformative potential and the pragmatic imperatives of deploying AI to improve human health.

Abstract Image

Abstract Image

Abstract Image

在炒作之外:引导人工智能(AI)在医疗保健领域的实际应用。
人工智能(AI)与医疗保健的整合标志着当代医学最强大和多方面的进步之一。不断创新的步伐需要及时综合该领域的发展轨迹,批判性地评估这种正在进行的转型的前景和复杂性。本报告旨在描绘人工智能在关键医疗保健部门部署的广阔领域,包括临床决策支持、诊断成像、制药创新、生物医学研究和监管审查。它首先分析了人工智能技术在现实世界中实施所固有的机遇和挑战,系统地将其采用和应用分为三个核心领域:(1)临床信息学和医疗保健服务,(2)临床科学和治疗干预,以及(3)药物开发和生物医学研究。此后,讨论转向人工智能在药品和医疗产品审查和批准的监管环境中的作用。采用进步的观点,作者制定了旨在克服潜在障碍的战略建议,从而促进人工智能的明智,有效和公平的整合。总的来说,这些分析提供了一种叙述,强调了利用人工智能改善人类健康的变革潜力和实际必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.30
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书