AI-Based Real-Time Detection of Surgical Smoke Using Endoscopic Data
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age18+
SponsorUniversity Hospital Tuebingen
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
- Age ≥ 18 years
Written consent after receiving information
Indication for surgical treatment using HF surgery
Disqualifiers
- 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
Trial population
Women aged 18 years or older undergoing laparoscopic gynecological procedures at the Department of Women's Health, University Hospital Tübingen, where high-frequency surgical technology (monopolar, bipolar, or ultrasound) is used and surgical smoke generation is expected. All procedures will utilize the KARL STORZ S-Pilot smoke evacuation system.
Trial design
Design model
Other
Time perspective
Prospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Detection of surgical smoke gas
Detection of surgical smoke gas with an accuracy of an F1 score of ≥ 0.8 on test data sets.
Time frame
At the end of the study (9 months)Sponsors and contacts
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Source ClinicalTrials.gov