The Promises and Perils of Clinical Decision Support Artificial Intelligence

Evidence-based clinical decision support artificial intelligence (AI) is rapidly expanding, but its safe and effective use depends on rigorous validation, trustworthy evidence sources and careful integration into clinical workflows. Current available systems show strong potential to improve diagnostic accuracy, reduce clinician workload and possibly benefit patient care, but challenges remain before its real-world adoption. We must be responsible in its integration to ensure AI truly strengthens clinical judgment. This article is a viewpoint of AI tools for clinical decision support, addressing a rapidly evolving field and provides insights that are useful for clinicians and educators in clinical settings. When used within appropriate medical training, AI may help augment diagnostic accuracy and improve efficiency. Nevertheless, while AI offers promising features, it also presents ethical and reliability challenges, which may negatively affect the medical professional identity.

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Publication Details

Journal
The Clinical Teacher
Published
2026-08-17
DOI
https://doi.org/10.1111/tct.70498
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The Promises and Perils of Clinical Decision Support Artificial Intelligence

Bhavya Vashi, Jorge Cervantes
The Clinical Teacher
Artificial Intelligence in Healthcare and Education
article

The Promises and Perils of Clinical Decision Support Artificial Intelligence

Bhavya Vashi, Jorge Cervantes
article en

Abstract

Evidence-based clinical decision support artificial intelligence (AI) is rapidly expanding, but its safe and effective use depends on rigorous validation, trustworthy evidence sources and careful integration into clinical workflows. Current available systems show strong potential to improve diagnostic accuracy, reduce clinician workload and possibly benefit patient care, but challenges remain before its real-world adoption. We must be responsible in its integration to ensure AI truly strengthens clinical judgment. This article is a viewpoint of AI tools for clinical decision support, addressing a rapidly evolving field and provides insights that are useful for clinicians and educators in clinical settings. When used within appropriate medical training, AI may help augment diagnostic accuracy and improve efficiency. Nevertheless, while AI offers promising features, it also presents ethical and reliability challenges, which may negatively affect the medical professional identity.

The Clinical TeacherVol. 23(5)
Nova Southeastern University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
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The Promises and Perils of Clinical Decision Support Artificial Intelligence — Bhavya Vashi, Jorge Cervantes · The Clinical Teacher (2026) | TGRS Research Map | TGRS