Cited by 327Artificial Intelligence in Healthcare and EducationReinforcement Learning in RoboticsMachine Learning in Healthcare

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Reinforcement learning for intelligent healthcare applications: A survey

Coronato, Antonio, Naeem, Muddasar, De Pietro, Giuseppe, Paragliola, Giovanni·2020·Artificial Intelligence in Medicine

DOI 10.1016/j.artmed.2020.101964

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Abstract

Discovering new treatments and personalizing existing ones is one of the major goals of modern clinical research. In the last decade, Artificial Intelligence (AI) has enabled the realization of advanced intelligent systems able to learn about clinical treatments and discover new medical knowledge from the huge amount of data collected. Reinforcement Learning (RL), which is a branch of Machine Learning (ML), has received significant attention in the medical community since it has the potentiality to support the development of personalized treatments in accordance with the more general precision medicine vision. This report presents a review of the role of RL in healthcare by investigating past work, and highlighting any limitations and possible future contributions.

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Authors: Coronato, A., Naeem, M., De Pietro, G., & Paragliola, G.
Affiliations: National Research Council (IT)
Parthenope University of Naples (IT)
Corresponding author: Coronato, Antonio
ORCID: Coronato, Antonio
Naeem, Muddasar
Paragliola, Giovanni
Venue: Artificial Intelligence in Medicine
Publisher: Elsevier BV
Published: 2020-09
Volume: 109
Pages: 101964
ISSN: 0933-3657 (ISSN-L)
DOI: 10.1016/j.artmed.2020.101964
OpenAlex: W3090832565
Cited by: 320
References: 204
Citations by year: 2026: 43 · 2025: 67 · 2024: 55 · 2023: 73 · 2022: 51 · 2021: 28 · 2020: 3
FWCI: 11.57
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Artificial Intelligence in Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: Ministero dell’Istruzione, dell’Università e della Ricerca
Topics: Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Artificial Intelligence › Reinforcement Learning in Robotics
Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords: reinforcement learning, medical applications, personalized treatment, precision medicine, clinical decision support, medical knowledge discovery
MeSH terms: Machine Learning, Artificial Intelligence, Delivery of Health Care, Reinforcement, Psychology, Precision Medicine

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Reinforcement learning for intelligent healthcare applications: A survey

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