Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning.
Journal:
ArXiv
Published Date:
May 27, 2025
Abstract
IMPORTANCE: Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system that generates treatment recommendations based on patient states can be a substantial asset in perioperative decision-making, as in cases of intraoperative hypotension, for which suboptimal management is associated with acute kidney injury (AKI), a common and morbid postoperative complication.
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