A Primer on Reinforcement Learning in Medicine for Clinicians.

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.

SUBMITTER: Jayaraman P 

PROVIDER: S-EPMC11599275 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature