Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery

Complications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the development of machine learning algorithms, has the potenti...

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Bibliographic Details
Published in:Surgery today (Tokyo, Japan) Japan), 2023-10, Vol.53 (10), p.1209-1215
Main Authors: Stam, Wessel T., Ingwersen, Erik W., Ali, Mahsoem, Spijkerman, Jorik T., Kazemier, Geert, Bruns, Emma R. J., Daams, Freek
Format: Article
Language:English
Subjects:
Medicine
Medicine & Public Health
Short Communication
Surgery
Surgical Oncology
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Summary:Complications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the development of machine learning algorithms, has the potential to completely reshape surgical patient management. In this paper, we reflect on multiple issues facing the implementation of machine learning, from the development to the actual implementation of machine learning models in daily clinical practice, providing suggestions on the use of machine learning models for predicting postoperative complications after major abdominal surgery.
ISSN:0941-1291
1436-2813
DOI:10.1007/s00595-023-02662-4