Robotic transesophageal echocardiography: system design and deep learning-based kinematic modeling

Key Points

• The robotic system design supports semi-autonomous transesophageal echocardiography examinations, enhancing its diagnostic utility.
• Using deep learning for kinematic modeling, the system improves precision in TEE-guided structural heart interventions.
• The integrated design allows for more effective procedures by combining robotic technology with advanced imaging techniques.
• The approach highlights potential advancements in cardiac intervention outcomes, especially with more accuracy in real-time imaging.

Abstract