Purpose Computer-assisted surgical systems provide support information to the surgeon,
which can improve the execution and overall outcome of the procedure. These systems are …

Background Attention to anatomical landmarks in the appropriate surgical phase is
important to prevent bile duct injury (BDI) during laparoscopic cholecystectomy (LC) …

Background Minimally invasive surgery is complex and associated with substantial learning
curves. Computer-aided anatomy recognition, such as artificial intelligence-based …

Background The precise recognition of liver vessels during liver parenchymal dissection is
the crucial technique for laparoscopic liver resection (LLR). This retrospective feasibility …

Abstract Introduction Bile duct injuries (BDIs) are a significant source of morbidity among
patients undergoing laparoscopic cholecystectomy (LC). GoNoGoNet is an artificial …

Lay Summary The growing availability of surgical digital data and developments in analytics
such as artificial intelligence (AI) are being harnessed to improve surgical care. However …

The lack of large datasets and high-quality annotated data often limits the development of
accurate and robust machine-learning models within the medical and surgical domains. In …

(1) Background: The difficulty of pelvic operation is greatly affected by anatomical
constraints. Defining this difficulty and assessing it based on conventional methods has …

Artificial intelligence (AI) has made steady in-roads into the healthcare scenario over the last
decade. While widespread adoption into clinical practice remains elusive, the outreach of …

Background Early introduction and distributed learning have been shown to improve student
comfort with basic requisite suturing skills. The need for more frequent and directed …