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

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.

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Publication Details

Journal
Cleveland Clinic Journal of Medicine
Published
2026-02-01
DOI
https://doi.org/10.3949/ccjm.93a.25089
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Neil Mehta, Rick Rejeleene
Cleveland Clinic Journal of Medicine
Artificial Intelligence in Healthcare and Education
article

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

Neil Mehta, Rick Rejeleene
article en

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.

Cleveland Clinic Journal of MedicineVol. 93(2)
Cleveland Clinic (US), Cleveland Clinic Lerner College of Medicine (US)
Quality Education
Openalex Percentile: Top 71%
Artificial Intelligence in Healthcare and Education
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