Article info
PDFThinking the unthinkable
Learning from chess engines: how reinforcement learning could redefine clinical decision-making in rheumatology
- Correspondence to Professor Thomas Hügle, Department of Rheumatology, University of Lausanne, Lausanne 1011, Switzerland; thomas.hugle{at}chuv.ch
Citation
Learning from chess engines: how reinforcement learning could redefine clinical decision-making in rheumatology
Publication history
- Received January 10, 2022
- Accepted January 27, 2022
- First published February 8, 2022.
Online issue publication
October 18, 2023
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- Previous version (15 November 2022).
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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.