Actively Recruiting
AI-Based Real-Time Detection of Surgical Smoke Using Endoscopic Data
Led by University Hospital Tuebingen · Updated on 2026-02-09
30
Participants Needed
1
Research Sites
127 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI-Based Real-Time Detection of Surgical Smoke Using Endoscopic Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 2 18 years
- Written consent after receiving information
- Indication for surgical treatment using HF surgery
You will not qualify if you...
- Expected lack of compliance or inability to understand the clinical trial
- Lack of patient consent
- Inability to use the S-Pilot smoke evacuation system
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Department of Women's Health, University Hospital
Tübingen, Germany
Actively Recruiting
Research Team
P
Prof. Dr. Bernhard Krämer
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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