Clinical Trial: Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases in Laparoscopic Cholecystectomy

Study Status: NOT_YET_RECRUITING
Recruit Status: NOT_YET_RECRUITING
Study Type: INTERVENTIONAL




Official Title: Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Ph

Brief Summary:

The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons.
Surgeons will perform the procedure in their standard practice, while the AI model analyzes data from the laparoscopic camera.
Surgeons will be asked to audibly state when they identify structures and enter different phases of the surgical procedure.

The AI will not alter the surgeon's view or be visible to the surgeon, and the surgeon will perform the procedure in the exact same fashion as they typically do.