Many health symptoms can be caused by multiple illnesses – if AI can’t tell the difference between them, it won’t be able to ...
AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...
Artificial Intelligence in Clinical Decision-Making: Regulatory Roadmap and Reimbursement Strategies
Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for ...
December 1, 2025Sara Brenner, M.D., MPHPrincipal Deputy CommissionerU.S. Food and Drug Administration10903 New Hampshire Ave.Silver Spring, MD 20993Submitted ElectronicallyRE: FDA-2025-N-4203 Request ...
Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Manual audits machine learning improves drug diversion prevention by reducing errors, saving staff time, and enhancing patient safety in hospitals.
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Machine learning tool identifies compounds that induce cancer cells into senescence
A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...
Patients at primary care clinics received more dementia diagnoses after implementation of a machine-learning tool designed to ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...
Researchers found a chasm between the health reasons for which the public seeks out cannabis and what gold-standard science ...
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Machine learning reveals dental caries heterogeneity in NHANES
A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype ...
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