Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review
Taha-Mehlitz S, Däster S, Bach L, Ochs V, von Flüe M, Steinemann D, Taha A (2022)
Publication Type: Journal article
Publication year: 2022
Journal
Book Volume: 11
Article Number: 2431
Journal Issue: 9
DOI: 10.3390/jcm11092431
Abstract
Objective: The use of machine learning (ML) has revolutionized every domain of medicine. Surgeons are now using ML models for disease detection and outcome prediction with high precision. ML-guided colorectal surgeries are more efficient than conventional surgical procedures. The primary aim of this paper is to provide an overview of the latest research on “ML in colorectal surgery”, with its viable applications. Methods: PubMed, Google Scholar, Medline, and Cochrane library were searched. Results: After screening, 27 articles out of 172 were eventually included. Among all of the reviewed articles, those found to fit the criteria for inclusion had exclusively focused on ML in colorectal surgery, with justified applications. We identified existing applications of ML in colorectal surgery. Additionally, we discuss the benefits, risks, and safety issues. Conclusions: A better, more sustainable, and more efficient method, with useful applications, for ML in surgery is possible if we and data scientists work together to address the drawbacks of the current approach. Potential problems related to patients’ perspectives also need to be resolved. The development of accurate technologies alone will not solve the problem of perceived unreliability from the patients’ end. Confidence can only be developed within society if more research with precise results is carried out.
Involved external institutions
St. Claraspital AG
Switzerland (CH)
F. Hoffmann-La Roche Ltd
Switzerland (CH)
Universitätsklinikum Essen
Germany (DE)
Switzerland (CH)
F. Hoffmann-La Roche Ltd
Switzerland (CH)
Universitätsklinikum Essen
Germany (DE)
How to cite
APA:
Taha-Mehlitz, S., Däster, S., Bach, L., Ochs, V., von Flüe, M., Steinemann, D., & Taha, A. (2022). Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review. Journal of Clinical Medicine, 11(9). https://dx.doi.org/10.3390/jcm11092431
MLA:
Taha-Mehlitz, Stephanie, et al. "Modern Machine Learning Practices in Colorectal Surgery: A Scoping Review." Journal of Clinical Medicine 11.9 (2022).
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