Revolutionalizing digital cardiovascular healthcare 

Rapidly transforming interventional medicine by improving precision, reducing radiation exposure, and enabling remote operation. But transformation with robot-assisted technologies may be hampered with limited capability to understand operator intent, assess skill, or adapt to procedural dynamics.

Current systems remain largely teleoperated meaning effectiveness depends heavily on surgeons’ natural skills, tacit knowledge, decision strategies, and manipulation behaviours. These factors remain poorly understood, affecting efforts on harnessing human-machine collaboration.

Bridging this gap requires computational and learning-driven frameworks capable of learning surgical intelligence directly from human performance, which is the vision of this R&D campaign...