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
Summary
The registered summary isn't in our current data snapshot. Read it on the ClinicalTrials.gov record ↗. Why? →
Investigators
The overall officials registered on this study. Names that resolve to a findmyKOL profile link to it; the rest are shown as registered.
- Peter Kim, MD, PhD
Activ Surgical
Principal Investigator
A profile link is shown only when the registered name resolves to a person record with a confident, namesake-checked match; ambiguous names stay unlinked.
Sites
1 registered facility, with the per-site recruitment status where the registry publishes one. ClinicalTrials.gov does not publish per-site enrollment counts.
- Memorial Hermann Texas Medical Center
Houston, Texas, United States
Erik B Wilson, MDShinil K Shah, DORecruiting
Site investigator names are published by ClinicalTrials.gov only while a study recruits, so completed studies list sites without them.
Drugs studied
No drug or biological interventions are in our data for this study — it may test a procedure, device or behavioral intervention, or the intervention list isn't in our current snapshot. See the registry record ↗. Why? →
Registration & key dates
Registry attributes as recorded on the ClinicalTrials.gov study record.
- Start
- 1 Aug 2023
- Primary completion
- 31 Dec 2025
- Completion
- 31 Dec 2025
- Last update posted
- 21 Feb 2024
- Registered enrollment
- 120
- Registry id
- NCT05775133
Source: ClinicalTrials.gov, via the CTTI AACT database, data as of 12 Jul 2026. Registry facts are shown as registered by the study sponsor; findmyKOL does not interpret them.