Machine learning and preoperative risk prediction: the machines are coming.

Br J Anaesth

Anaesthesia, Perioperative Medicine and Critical Care Research Group, University of Glasgow, Glasgow, UK; Department of Clinical Physics and Bioengineering, NHS Greater Glasgow and Clyde, Glasgow, UK.

Published: November 2024

AI Article Synopsis

  • - Preoperative risk prediction is key in managing patient safety and outcomes during surgery.
  • - Machine learning can enhance risk prediction models, making them more accurate and complex.
  • - It's crucial to thoughtfully guide the machine learning process to align predictions with clinical goals and timing.

Article Abstract

Preoperative risk prediction is an important component of perioperative medicine. Machine learning is a powerful tool that could lead to increasingly complex risk prediction models with improved predictive performance. Careful consideration is required to guide the machine learning approach to ensure appropriate decisions are made with regard to what we are trying to predict, when we are trying to predict it, and what we seek to do with the results.

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Source
http://dx.doi.org/10.1016/j.bja.2024.07.015DOI Listing

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