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Artificial Intelligence for Augmenting Perioperative Surgical Decision-Making—Are We There Yet?
These questions for translating AI into surgical care remain. However, this proof-of-concept study will undoubtedly stimulate surgeons, innovators, and data scientists to continue investigating the role of machine-learning methods to improve care.
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Cerebral Oximetry During Cardiac Surgery: The Association Between Cerebral Oxygen Saturation and Perioperative Patient Variables
This "real-world" study was designed to assess the patterns of regional cerebral oxygen saturation (rSO(2)) change during adult cardiac surgery. A secondary objective was to determine any relation between perioperative rSO(2) (baseline and during surgery) and patient characteristics or intraoperative variables.
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An Original Model to Predict Intensive Care Unit Length-of Stay after Cardiac Surgery in a Competing Risk Framework
ICU-LOS can be predicted by preoperative data and type of surgeries.
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