Key result
AI and ML enhance perioperative risk assessment and prediction to optimize surgical outcomes.
Why the study?
AI platforms and ML algorithms provide opportunities to refine or reimagine current tools aimed at predicting and optimizing outcomes in surgical patients during the perioperative period.
Design
Review
May support AI refinement of surgical risk tools; leaves open prospective validation before perioperative adoption.
Artificial intelligence (AI) platforms and machine learning (ML) algorithms provide the ability to utilize large amounts of electronically available data and leverage them to augment physicians' risk assessment and predictive abilities. These tools allow for refinement and/or reimagination of current tools aimed at predicting and optimizing outcomes in the perioperative period. In this section, we review AI and ML construction and implementation, the current state of predictive model use in surgical patients during the perioperative period, and discuss opportunities for integration into clinical care to optimize patients for surgery, improve perioperative patient care, and enable earlier detection of postoperative complications. We conclude with a discussion of limitations of AI and ML tools, along with points for consideration regarding their implementation in perioperative surgical care.
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Bhutiani et al. (2026) studied this question. AI and ML algorithms enhance risk assessment and predictive abilities for optimizing surgical outcomes in the perioperative period.
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