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

Year: 2026

Type: article

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.

Source: Cleveland Clinic Journal of Medicine

DOI: 10.3949/ccjm.93a.25089

Authors: Rick Rejeleene, Neil B. Mehta

Institutions: Cleveland Clinic, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7127175162