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NCT Number: NCT07397000

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

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.

Recruiting

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Key information

Age range

18 year and older

Sex eligibility

Female

Study type

Observational

Primary location

Department of Women's Health, University Hospital

Tübingen, Germany

Location status: Recruiting

Location contact

Prof. Dr. Bernhard Krämer

CONTACT

[email protected]

+497071 2982211

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Detection of surgical smoke gas

    Time frame: 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Prof. Dr. Bernhard Krämer

CONTACT

[email protected]

+497071 2982211

Sponsors and collaborators

Lead sponsor

University Hospital Tuebingen

Other

Registry information

Official study title

Development of AI-Based Approaches for Automated Real-Time Detection of Surgical Smoke Using Endoscopic Image and Video Data

Important dates

Study start
2024
Primary completion
2025
Study completion
2026
First posted
Feb 9, 2026
Registry last updated
Feb 9, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.