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

Recruiting now

Conditions studied: Detection of Surgical Smoke Gas Using AI

In brief

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.

Key facts

Study ID

NCT07397000

Run by

University Hospital Tuebingen

People needed

30

Starts

2024-02-21

Expected to finish

2026-08-01

Last updated by the study team

2026-02-09

Who can join

Age: 18 and older. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

• - Age ≥ 18 years
• Written consent after receiving information
• Indication for surgical treatment using HF surgery

You may not qualify if…

• - Expected lack of compliance by the patient or inability of the patient to understand the meaning and purpose of the clinical trial
• Lack of patient consent
• S-Pilot cannot be used

Where it is running

• Department of Women's Health, University Hospital — Tübingen, Germany (enrolling)

Full record on ClinicalTrials.gov

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