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Found 5 papers, 2 papers with code
General surgery vision transformer: A video pre-trained foundation model for general surgery
The absence of openly accessible data and specialized foundation models is a major barrier for computational research in surgery.
General-purpose foundation models for increased autonomy in robot-assisted surgery
The dominant paradigm for end-to-end robot learning focuses on optimizing task-specific objectives that solve a single robotic problem such as picking up an object or reaching a target position.
Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots
Recent advances in robot-assisted surgery have resulted in progressively more precise, efficient, and minimally invasive procedures, sparking a new era of robotic surgical intervention.
Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue
Our localization method combines neural network-based segmentation and classical techniques, and we are able to consistently locate our needle with 0. 73 mm RMS error in clean environments and 2. 72 mm RMS error in challenging environments with blood and occlusion.
Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic
Medical robots can play an important role in mitigating the spread of infectious diseases and delivering quality care to patients during the COVID-19 pandemic.
Robotics
