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

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Authors: Man-Cheong Fung
Cited by: 2
References: 47

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare COVID-19 diagnosis using AI

Publication details

Journal / source
Medical Review
Publisher
Walter de Gruyter GmbH
Volume
6
Issue
1
Pages
14–34
Publication date
28 January 2026
Language
EN