Explainable AI predicts blood-oxygen levels during anaesthesia
An alert system based on machine learning and trained on surgical data from electronic medical records helps anaesthesiologists prevent hypoxemia during surgery by providing interpretable real-time predictions.
Published in Bioengineering & Biotechnology
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Nature Biomedical Engineering
This journal aspires to become the most prominent publishing venue in biomedical engineering by bringing together the most important advances in the discipline, enhancing their visibility, and providing overviews of the state of the art in each field.
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The cover illustrates variations in risk factors contributing to hypoxaemia under general anaesthesia, as predicted by machine-learning.
See Lundberg et al., https://www.nature.com/articles/s41551-018-0304-0
Surgery image: LightField Studios Inc. / Alamy Stock Photo. Cover design: Alex Wing.