Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
General Surgery Unit, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
Obes Surg. 2022 Aug;32(8):2717-2733. doi: 10.1007/s11695-022-06100-1. Epub 2022 May 26.
The application of artificial intelligence technologies is growing in several fields of healthcare settings. The aim of this article is to review the current applications of artificial intelligence in bariatric surgery. We performed a review of the literature on Scopus, PubMed and Cochrane databases, screening all relevant studies published until September 2021, and finally including 36 articles. The use of machine learning algorithms in bariatric surgery is explored in all steps of the clinical pathway, from presurgical risk-assessment and intraoperative management to complications and outcomes prediction. The models showed remarkable results helping physicians in the decision-making process, thus improving the quality of care, and contributing to precision medicine. Several legal and ethical hurdles should be overcome before these methods can be used in common practice.
人工智能技术在医疗保健领域的多个领域的应用正在不断增长。本文旨在综述人工智能在减重手术中的应用。我们在 Scopus、PubMed 和 Cochrane 数据库上对文献进行了回顾，筛选了截至 2021 年 9 月发表的所有相关研究，最终纳入 36 篇文章。机器学习算法在减重手术的临床路径的各个步骤中都有应用，从术前风险评估和术中管理到并发症和结果预测。这些模型的效果显著，帮助医生做出决策，从而提高了医疗质量，推动了精准医疗的发展。在这些方法能够在常规实践中使用之前，还需要克服一些法律和伦理方面的障碍。
