Can generative artificial intelligence enhance evidence-based and personalized medicine?

Should clinical applications of generative artificial intelligence (GAI) be designed to follow treatment guidelines rigidly, provide individualized recommendations, or be somewhere in-between? A recent study in PLOS Medicine comparing GAI versus physician treatment recommendations highlights the importance of context- and patient-specific circumstances in decision-making.

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Publication Details

Journal
PLoS Medicine
Published
2026-02-17
DOI
https://doi.org/10.1371/journal.pmed.1004931
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Can generative artificial intelligence enhance evidence-based and personalized medicine?

Arun James Thirunavukarasu
PLoS Medicine
Artificial Intelligence in Healthcare and Education
article

Can generative artificial intelligence enhance evidence-based and personalized medicine?

Arun James Thirunavukarasu
article en

Abstract

Should clinical applications of generative artificial intelligence (GAI) be designed to follow treatment guidelines rigidly, provide individualized recommendations, or be somewhere in-between? A recent study in PLOS Medicine comparing GAI versus physician treatment recommendations highlights the importance of context- and patient-specific circumstances in decision-making.

PLoS MedicineVol. 23(2)
London School of Hygiene & Tropical Medicine (GB)
National Institute for Health and Care Research
Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Artificial Intelligence in Healthcare and Education
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