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Detection of Surgical Smoke Gas Using AINCT07397000

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

An observational study of Detection of Surgical Smoke Gas Using AI, run by University Hospital Tuebingen at 1 site in Germany.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
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Trial 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. Read more about this study

Who is it for?
Ages 18 years and older, women only
Conditions the study is for
Detection of Surgical Smoke Gas Using AI
How many people
30 participants
Where
1 siteGermany
Study dates
21 Feb 2024to Aug 2026
Phase
Observational
Are there results?
Not yet: the study is under way

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • Women only
  • No healthy volunteers
  • Adult, Older adult

Study 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.

Who may be able to join

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

Who cannot join

  • - 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 locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Germany1 site, 1 recruiting
  • Department of Women's Health, University Hospital

    Tübingen

    Prof. Dr. Bernhard Krämer, +497071 2982211, bernhard.kraemer@med.uni-tuebingen.de

    Recruiting

Other trials in Germany

About this study

Official title: Development of AI-Based Approaches for Automated Real-Time Detection of Surgical Smoke Using Endoscopic Image and Video 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.

Read the 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.

What is being measured

The primary outcome is the main question the study is designed to answer.

  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.

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

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted9 Feb 2026
  2. Study start21 Feb 2024
  3. Primary completion26 May 2025
  4. Study completionAug 2026 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Prospective
Enrolment
30 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07397000
Sponsor's protocol ID
MT_STORZ Rauchgasabsaugung
Status last verified
Jan 2026
First submitted
2 Feb 2026
Last updated
9 Feb 2026
Results posted
No
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

An observational study of Detection of Surgical Smoke Gas Using AI, run by University Hospital Tuebingen at 1 site in Germany.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: looking for participants now, as of the sponsor's last update on 9 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Germany. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Prof. Dr. Bernhard Krämer (+497071 2982211, bernhard.kraemer@med.uni-tuebingen.de), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Detection of surgical smoke gas (time frame: At the end of the study (9 months)). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Feb 2026.

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