TY - JOUR
T1 - A Primer on Reinforcement Learning in Medicine for Clinicians
AU - Jayaraman, Pushkala
AU - Desman, Jacob
AU - Sabounchi, Moein
AU - Nadkarni, Girish N.
AU - Sakhuja, Ankit
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85210408939&partnerID=8YFLogxK
U2 - 10.1038/s41746-024-01316-0
DO - 10.1038/s41746-024-01316-0
M3 - Review article
AN - SCOPUS:85210408939
SN - 2398-6352
VL - 7
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 337
ER -