A Primer on Reinforcement Learning in Medicine for Clinicians.

Link: https://doi.org/10.1038/s41746-024-01316-0
Authors: Jayaraman, Pushkala; Desman, Jacob; Sabounchi, Moein; Nadkarni, Girish N; Sakhuja, Ankit

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.