Key result
AI and machine learning show potential to improve perioperative cancer care by predicting clinical outcomes.
Why the study?
Machine learning and artificial intelligence models offer significant potential to enhance perioperative cancer care by predicting outcomes and supporting clinical decision-making.
Does the use of machine learning and artificial intelligence models improve the prediction of perioperative outcomes and support clinical decision-making in patients with cancer?
Does the use of machine learning and artificial intelligence models improve the prediction of perioperative outcomes and support clinical decision-making in patients with cancer?
Machine learning and AI models show significant potential to enhance perioperative cancer care through improved outcome prediction and decision support.
Caution against routine use in perioperative cancer care; leaves open prospective validation of ML/AI models.
This narrative review explores the utilization of machine learning (ML) and artificial intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer significant potential to improve perioperative cancer care by predicting outcomes and supporting clinical decision-making. Tailored for perioperative professionals including anesthesiologists, surgeons, critical care physicians, nurse anesthetists, and perioperative nurses, this review provides a comprehensive framework for the integration of ML and AI models to enhance patient care delivery throughout the perioperative continuum.
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Brydges et al. (2024) conducted a review in Cancer. Machine learning and artificial intelligence models was evaluated. Machine learning and artificial intelligence models offer significant potential to improve perioperative cancer care by predicting outcomes and supporting clinical decision-making.
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