Идёт набор NCT07261436

Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation

— Наблюдательное Artificial Intelegence

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают: В протоколе указаны: Gemini 2.5 Pro Evaluation, ChatGPT-5.1 Evaluation.
Кому может быть актуально: Состояния в реестре: Artificial Intelegence. Базовые параметры: 18 лет — 85 лет · Все.
Что важно проверить: Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится: Turkey (Türkiye)
Следующий шаг: Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation: A Double-Blind Prospective Study

Обзор

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.

Подробное описание

This study aims to evaluate how two advanced artificial intelligence (AI) models, Gemini 2.5 Pro and ChatGPT-5.1, interpret ultrasound videos of Transversus Abdominis Plane (TAP) block procedures. TAP blocks are performed as part of routine clinical care by experienced anesthesiologists. The ultrasound videos recorded during these procedures serve as the data source for this study. No additional procedures or patient involvement are required beyond standard care.

Ultrasound Video Processing All ultrasound recordings will be fully de-identified by removing patient names, dates, and any other identifying information.

Gemini 2.5 Pro will receive original video files. ChatGPT-5.1 will receive high-resolution GIF segments generated from the same recordings.

Both models will be given identical structured prompts consisting of eight clinically relevant questions about anatomic structures, needle placement, local anesthetic spread, dermatomal effects, and potential safety concerns.

Expert Participation

Two anesthesiology experts will participate independently:

Expert A will review each ultrasound video and answer the same set of eight clinical questions. These answers will serve as the primary human clinical reference.

Expert B will independently evaluate all responses, those from Expert A, Gemini, and ChatGPT-5.1, after they have been anonymized and randomly ordered. Expert B will not know whether a response originated from an AI model or a human expert. Expert B will assess anatomical accuracy, clarity, clinical appropriateness, and overall content quality for each answer.

If Expert A and Expert B disagree on the interpretation or quality assessment of any response, a third expert (Expert C), who is also experienced in ultrasound-guided regional anesthesia, will independently review the relevant responses. Expert C's evaluation will be used to resolve discrepancies and establish the final consensus.

Data Collected

For each TAP block video, the following information will be recorded:

Ultrasound and procedural details. Patient demographic descriptors (age, sex, BMI, ASA classification), used only for general characterization of the sample.

AI-related performance features such as response completeness, relevance, confidence level, and response time.

Вмешательства

Другое Gemini 2.5 Pro Evaluation
Analysis of de-identified ultrasound videos by the Gemini 2.5 Pro artificial intelligence model. The model receives standardized prompts and provides anatomical interpretation, block success assessment, and clinical suggestion outputs.
Другое ChatGPT-5.1 Evaluation
Analysis of de-identified ultrasound videos by the ChatGPT-5.1 artificial intelligence model. The model receives the same standardized questions and produces anatomical and clinical interpretations for comparison.

Первичные конечные точки

Anatomical Interpretation Accuracy [Срок оценки: At the time of video analysis]

Вторичные конечные точки (7)

Block Success Interpretation [Срок оценки: At the time of video analysis.]
Needle Plane Evaluation [Срок оценки: At the time of video analysis.]
Dermatomal Level Prediction [Срок оценки: At the time of video analysis.]
Risk Awareness Assessment [Срок оценки: At the time of video analysis.]
Recommendation Quality [Срок оценки: At the time of video analysis.]
Agreement Between Experts [Срок оценки: During expert evaluation phase.]
AI Response Time [Срок оценки: Captured automatically during model output.]

Критерии участия

Критерии включения

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