Nerve and Plane Block Data Collection Study for the Development of Artificial Intelligence-assisted Software

Overview

The primary objective of this observational study is to acquire ultrasound images (raw data) from nerve and plane block regions to develop artificial intelligence-guided nerve block software (Nerveblox). The study aims to acquire raw ultrasound video from 200 volunteers' planned nerve and plane block regions. These participants will undergo ultrasound scans administered by expert clinicians proficient in these techniques in their clinical practice. The data collection devices utilized in this study are FDA-cleared general-purpose ultrasound devices.

Ultrasound-guided nerve and plane blocks have facilitated regional anesthesia by providing clinicians with real-time imaging capabilities for precise needle placement and application of local anesthetics. These techniques involve the use of ultrasound technology to visualize nerves and surrounding anatomical structures, allowing for accurate identification and targeting of specific nerve pathways. Additionally, the integration of artificial intelligence (AI) into ultrasound-guided nerve blocks offers further enhancements to this practice. AI algorithms can assist clinicians in image interpretation, needle localization, and decision-making, streamlining procedural workflows and reducing the risk of complications. The sponsor, Smart Alfa Teknoloji San. Ve Tic. A.Ş., located in Ankara, Turkey, aims to collect data from planned regions of volunteers to develop artificial intelligence-supported nerve block software (Nerveblox). The gathered data will be utilized for training, validation, and test processes of the AI algorithm. The study methodology encompasses the following components: * A cohort of 200 volunteers, evenly distributed by gender (100 male, 100 female), will have their demographic data (BMI, gender, age) documented. * Each scan from one volunteer is expected to take 30 minutes.

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