The Usage of Electroimpedance Tomography along with Artificial Intelligence in Application Development in the field of Medicine

This study investigates the integration of Electroimpedance Tomography (EIT) with Machine Learning (ML) and Deep Learning (DL) for enhanced object detection and imaging in medical and robotics applications. The study encompasses data collection, processing, and image construction, along with algorithms for evaluation and classification. The validity of the system is done by assessing algorithm accuracy by comparing the system results with the physical results. The study also identifies the areas for future improvement such as measurement complexity and data collection automation, underscoring EIT's potential for advancing diagnostics.