Surgical Simulation and Training
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Latest in Surgical Simulation and Training
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xvr achieves high-accuracy, patient-specific 2D/3D X-ray to volume registration within seconds, outperforming existing methods by an order of magnitude across diverse anatomies.
CRISP, a clinically oriented foundation model trained on over 100,000 frozen sections, achieves 92.6% diagnostic accuracy in intraoperative pathology across diverse cases.
- Open access
Multi-billion parameter AI models still struggle with surgical tool detection in neurosurgery, showing limited improvements despite extensive scaling efforts.
- Open access
Humanoid robots demonstrate promising yet limited capabilities for laparoscopic surgery, with key technical challenges remaining before clinical deployment.
- Open access
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