Detection of Surgical Smoke Gas Using AI
Conditions
Brief 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.
Detailed description
Detection of surgical smoke gas with an accuracy F1 score of \>= 0.8 on test datasets. The activation of the S-Pilot by clinic personnel will be used as the gold standard.
Interventions
None listed
Sponsors
University Hospital Tuebingen
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Detection of surgical smoke gas | At the end of the study (9 months) | Detection of surgical smoke gas with an accuracy of an F1 score of ≥ 0.8 on test data sets. |
Countries
Germany
Contacts
CONTACTProf. Dr. Bernhard Krämer
PRINCIPAL_INVESTIGATORProf. Dr. Bernhard Krämer
Deparment of Women's Health, University Hospital Tübingen
Outcome results
None listed