Predicting Surgical Outcomes and Optimizing Patients for Surgery Using AI

Abstract 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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Publication Details

Journal
Clinics in Colon and Rectal Surgery
Published
2026-01-12
DOI
https://doi.org/10.1055/a-2769-1109
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Surgical Outcomes and Optimizing Patients for Surgery Using AI

Neal Bhutiani
Clinics in Colon and Rectal Surgery
Artificial Intelligence in Healthcare and Education
article

Predicting Surgical Outcomes and Optimizing Patients for Surgery Using AI

Neal Bhutiani
article en

Abstract

Abstract 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.

Clinics in Colon and Rectal Surgery
University of Louisville (US), Emory University (US), Colon and Rectal Surgery Associates (US), University of Louisville Physicians (US)
Openalex Percentile: Top 90%
Artificial Intelligence in Healthcare and Education
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Predicting Surgical Outcomes and Optimizing Patients for Surgery Using AI — Neal Bhutiani · Clinics in Colon and Rectal Surgery (2026) | TGRS Research Map | TGRS