RecruitingNot Applicable

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

Germany30 participantsStarted 2024-02-21

Plain-language 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.

Who can participate

Age range18 Years

SexFEMALE

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * \- Age ≥ 18 years * Written consent after receiving information * Indication for surgical treatment using HF surgery Exclusion Criteria: * \- 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

What they're measuring

Detection of surgical smoke gas

Timeframe: At the end of the study (9 months)

Trial details

NCT IDNCT07397000

SponsorUniversity Hospital Tuebingen

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-05-26

Contact for this trial

Prof. Dr. Bernhard Krämer

+497071 2982211 bernhard.kraemer@med.uni-tuebingen.de

View on ClinicalTrials.gov More Detection of Surgical Smoke Gas Using AI trials