Artificial Intelligence in Surgery: A Systematic Review of Use and Validation.

ABSTRACT: Background: Artificial Intelligence (AI) holds promise for transforming healthcare, with AI models gaining increasing clinical use in surgery. However, new AI models are developed without established standards for their validation and use. Before AI can be widely adopted, it is crucial to ensure these models are both accurate and safe for patients. Without proper validation, there is a risk of integrating AI models into practice without sufficient evidence of their safety and accuracy, potentially leading to suboptimal patient outcomes. In this work, we review the current use and validation methods of AI models in clinical surgical settings and propose a novel classification system. Methods: A systematic review was conducted in PubMed and Cochrane using the keywords "validati

SUBMITTER: Kenig N 

PROVIDER: S-EPMC11642125 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature