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.
Authors
- Neil Mehta (ORCID: https://orcid.org/0000-0002-6207-6778)
- Rick Rejeleene
Institutions
- Cleveland Clinic (US)
- Cleveland Clinic Lerner College of Medicine (US)
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