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Recruiting NCT07261436

NCT07261436 Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation

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Clinical Trial Summary
NCT ID NCT07261436
Status Recruiting
Phase
Sponsor Kanuni Sultan Suleyman Training and Research Hospital
Condition Artificial Intelegence
Study Type OBSERVATIONAL
Enrollment 40 participants
Start Date 2026-01-15
Primary Completion 2026-04-30

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 85 Years
Study Type OBSERVATIONAL
Interventions
Gemini 2.5 Pro EvaluationChatGPT-5.1 Evaluation

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 40 participants in total. It began in 2026-01-15 with a primary completion date of 2026-04-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The goal of this study is to learn how accurately two artificial intelligence (AI) models, Gemini 2.5 Pro and ChatGPT-5.1, can interpret ultrasound videos of the Transversus Abdominis Plane (TAP) block, a regional anesthesia technique used for pain control after surgery. The main questions this study aims to answer are: How accurately can each AI model identify anatomical structures on TAP block ultrasound videos? Can the AI models correctly evaluate the spread of local anesthetic and determine whether the block is successful? How closely do the AI models' answers match the evaluations of expert anesthesiologists? No additional procedures will be performed on patients. TAP blocks will be done as part of routine clinical care, and the ultrasound videos will be recorded and de-identified. Participants will not need to do anything extra for the study. Experienced anesthesiologists will review the videos and provide expert answers. The AI models will be given the same videos and asked the same questions. A second expert, who does not know which answers came from humans or AI, will compare all responses. The results will help researchers understand whether advanced AI systems can safely support clinicians in interpreting ultrasound-guided regional anesthesia procedures and improve education and decision-making in anesthesia practice.

Eligibility Criteria

Inclusion Criteria: * Adults aged 18-85 years * ASA I-III physical status * Undergoing elective surgery with a lateral TAP block performed as part of routine anesthesia care * Complete ultrasound-guided block procedure recorded on video * Able to provide written informed consent Exclusion Criteria: * Unsuccessful or incomplete TAP block procedure * Poor-quality ultrasound video (needle tip or anesthetic spread not visible) * Missing demographic or clinical data * Withdrawal of consent at any time

Contact & Investigator

Central Contact

Engin ihsan Turan, principal investigator

✉ enginihsan@hotmail.com

📞 +905382431114

Frequently Asked Questions

Who can join the NCT07261436 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 85 Years, studying Artificial Intelegence. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07261436 currently recruiting?

Yes, NCT07261436 is actively recruiting participants. Contact the research team at enginihsan@hotmail.com for enrollment information.

Where is the NCT07261436 trial being conducted?

This trial is being conducted at Istanbul, Turkey (Türkiye).

Who is sponsoring the NCT07261436 clinical trial?

NCT07261436 is sponsored by Kanuni Sultan Suleyman Training and Research Hospital. The trial plans to enroll 40 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology