# 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

> **NCT05775133** · NA · UNKNOWN · sponsor: **Activ Surgical** · enrollment: 120 (estimated)

## Conditions studied

- Cholecystitis
- Cholelithiasis
- Biliary Dyskinesia

## Interventions

- **DEVICE:** ICG

## Key facts

- **NCT ID:** NCT05775133
- **Lead sponsor:** Activ Surgical
- **Sponsor class:** INDUSTRY
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** UNKNOWN
- **Start date:** 2023-08-01
- **Primary completion:** 2025-12
- **Final completion:** 2025-12
- **Target enrollment:** 120 (ESTIMATED)
- **Last updated:** 2024-02-21


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT05775133

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT05775133, "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". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT05775133. Licensed CC0.

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