Artificial Intelligence and Machine Learning in Prediction of Surgical Complications: Current State, Applications, and Implications.
Am Surg
; 89(1): 25-30, 2023 Jan.
Article
in En
| MEDLINE
| ID: mdl-35562124
Surgical complications pose significant challenges for surgeons, patients, and health care systems as they may result in patient distress, suboptimal outcomes, and higher health care costs. Artificial intelligence (AI)-driven models have revolutionized the field of surgery by accurately identifying patients at high risk of developing surgical complications and by overcoming several limitations associated with traditional statistics-based risk calculators. This article aims to provide an overview of AI in predicting surgical complications using common machine learning and deep learning algorithms and illustrates how this can be utilized to risk stratify patients preoperatively. This can form the basis for discussions on informed consent based on individualized patient factors in the future.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Surgeons
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Am Surg
Year:
2023
Document type:
Article
Affiliation country:
United States
Country of publication:
United States