Managing Difficult Cholecystectomies and Hepatobiliary Procedures with AI
摘要
The development of Artificial Intelligence (AI) has significantly impacted the medical field, including the management of cholecystectomies and hepato-pancreato-biliary (HPB) surgery. In this field, AI can facilitate the discovery of non-parametric associations, supporting physicians in preoperative evaluation, providing intraoperative support, and predicting personalized postoperative outcomes. Preoperative applications include patient selection, radiomics, and predictive models for treatment allocation. Intraoperative support is enhanced through visual AI, which aids in anatomical structure identification and surgical navigation. Postoperatively, AI models can predict personalized patient outcomes based on comprehensive data analysis, contributing to precision medicine. Improvements and standardization of these tools are still needed. However, their integration into clinical practice has the potential to revolutionize the management of gallbladder and HPB diseases, offering more accurate evaluations, decision-making support, and personalized treatment plans.