AI-Based Real-Time Detection of Surgical Smoke Using Endoscopic Data

The goal of this observational, prospective monocentric pilot study is to generate a pilot dataset to train a computer-assisted model for automatic, intraoperative detection of surgical smoke gas. Women with indications for laparoscopic evaluation requiring the use of HF surgery (expecting the formation of smoke gas) and a smoke evacuation system (Karl Storz S-Pilot) are employed.

NCT Number	NCT07397000
Lead Sponsor	University Hospital Tuebingen
Conditions	Detection of Surgical Smoke Gas Using AI
Enrollment	30 participants
Start Date	2024-02-21
Primary Completion	2025-05-26 (estimated)
Study Completion	2026-08 (estimated)
Updated on ClinicalTrials.gov	2026-02-09