A Primer on Reinforcement Learning in Medicine for Clinicians

Pushkala Jayaraman, Jacob Desman, Moein Sabounchi, Girish N. Nadkarni, Ankit Sakhuja

Research output: Contribution to journalReview articlepeer-review

Abstract

Reinforcement Learning (RL) is a machine learning paradigm that enhances clinical decision-making for healthcare professionals by addressing uncertainties and optimizing sequential treatment strategies. RL leverages patient-data to create personalized treatment plans, improving outcomes and resource efficiency. This review introduces RL to a clinical audience, exploring core concepts, potential applications, and challenges in integrating RL into clinical practice, offering insights into efficient, personalized, and effective patient care.

Original languageEnglish
Article number337
Journalnpj Digital Medicine
Volume7
Issue number1
DOIs
StatePublished - Dec 2024

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