Artificial intelligence in medicine: How it works, how it fails

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Authors: Rick Rejeleene, Neil Mehta
Cited by: 5

Abstract

Artificial intelligence (AI) is transforming healthcare, with large language models emerging as important tools for clinical practice, education, and research. To use it safely and effectively, healthcare professionals need to understand how it works, and how it fails. Using practical clinical examples, the authors explain the subset of AI called large language models, highlighting their capabilities and their limitations.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare Clinical Reasoning and Diagnostic Skills

Publication details

Journal / source
Cleveland Clinic Journal of Medicine
Publisher
Cleveland Clinic Journal of Medicine
Volume
93
Issue
2
Pages
113–120
Publication date
1 February 2026
Language
EN