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AI-Based Real-Time Detection of Surgical Smoke Using Endoscopic Data
Sponsor: University Hospital Tuebingen
Summary
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.
Official title: Development of AI-Based Approaches for Automated Real-Time Detection of Surgical Smoke Using Endoscopic Image and Video Data
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
30
Start Date
2024-02-21
Completion Date
2026-08
Last Updated
2026-02-09
Healthy Volunteers
No
Conditions
Locations (1)
Department of Women's Health, University Hospital
Tübingen, Germany