Individualized Bariatric Surgery Utilizing Artificial Intelligence: A Call to Colleagues and New Year's Aspiration
- PMID: 38206563
- DOI: 10.1007/s11695-024-07060-4
Individualized Bariatric Surgery Utilizing Artificial Intelligence: A Call to Colleagues and New Year's Aspiration
References
-
- Cady B. Basic principles in surgical oncology. Arch Surg. 1997;132(4):338–46. https://doi.org/10.1001/archsurg.1997.01430280012001 . - DOI - PubMed
-
- Gögenur I. Introducing machine learning-based prediction models in the perioperative setting. Br J Surg. 2023;110(5):533–5. https://doi.org/10.1093/bjs/znac462 . - DOI - PubMed
-
- Smits FJ, Henry AC, Besselink MG, et al. Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial. Lancet. 2022;399(10338):1867–75. https://doi.org/10.1016/S0140-6736(22)00182-9 . - DOI - PubMed
-
- Enodien B, Taha-Mehlitz S, Saad B et al. The development of machine learning in bariatric surgery. Front Surg. 2023;10:1102711. https://doi.org/10.3389/fsurg.2023.1102711 . Erratum in: Front Surg. 2023 Apr 04;10:1186466. PMID: 36911599; PMCID: PMC9998495 - DOI - PubMed - PMC
-
- Bektaş M, Reiber BMM, Pereira JC et al. Artificial ıntelligence in bariatric surgery: current status and future perspectives. Obes Surg. 2022;32(8):2772–83. https://doi.org/10.1007/s11695-022-06146-1 . - DOI - PubMed - PMC
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
