Precision Medicine, AI, and the Future of Personalized Health Care

The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with less‐common responses to treatment or unique healthcare needs. AI leverages sophisticated computation and inference to generat...

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Published inClinical and translational science Vol. 14; no. 1; pp. 86 - 93
Main Authors Johnson, Kevin B., Wei, Wei‐Qi, Weeraratne, Dilhan, Frisse, Mark E., Misulis, Karl, Rhee, Kyu, Zhao, Juan, Snowdon, Jane L.
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.01.2021
John Wiley and Sons Inc
Wiley
Subjects
Artificial intelligence
Big Data
Convergence
COVID-19
Decision making
Fraud
Global health
Health care
Health care access
Health care policy
Informatics
Medicaid
Medical equipment
Patients
Phenotypes
Precision medicine
Review
Reviews
United Kingdom > UK
Sonoma County California
United States > US
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Summary:The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with less‐common responses to treatment or unique healthcare needs. AI leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers clinician decision making through augmented intelligence. Recent literature suggests that translational research exploring this convergence will help solve the most difficult challenges facing precision medicine, especially those in which nongenomic and genomic determinants, combined with information from patient symptoms, clinical history, and lifestyles, will facilitate personalized diagnosis and prognostication.
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ISSN:1752-8054
1752-8062
1752-8062
DOI:10.1111/cts.12884