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September 10, 2025Nature CommunicationsOpen Access

Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system

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Automation improves carotid ultrasound success rates in diverse populations, suggesting advances in deep learning applications.

UltraBot achieved over 90% success rates in autonomous carotid ultrasound, demonstrating expert-level accuracy.
The use of a large-scale expert demonstration dataset enabled the robot to generalize well across diverse populations.
A unified imitation learning framework allowed UltraBot to acquire necessary anatomical knowledge and scanning skills effectively.
This robotic approach may fulfill the need for skilled operators in carotid ultrasound and enhance consistency in diagnostics.

Jiang et al. (2025) studied this question.

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