6 papers
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling
Kirill Skobelev, Eric Fithian, Yegor Baranovski +9
Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but surgical benchmarks in particular are of…
SurgPhase: Time efficient pituitary tumor surgery phase recognition via an interactive web platform
Yan Meng, Jack Cook, X. Y. Han +12
Accurate surgical phase recognition is essential for analyzing procedural workflows, supporting intraoperative decision-making, and enabling data-driven improvements in surgical ed…
An AI Framework for Microanastomosis Motion Assessment
Yan Meng, Eduardo J. Torres-RodrÃguez, Marcelle Altshuler +5
Proficiency in microanastomosis is a fundamental competency across multiple microsurgical disciplines. These procedures demand exceptional precision and refined technical skills, m…
AI-Driven Evaluation of Surgical Skill via Action Recognition
Yan Meng, Daniel A. Donoho, Marcelle Altshuler +1
The development of effective training and evaluation strategies is critical. Conventional methods for assessing surgical proficiency typically rely on expert supervision, either th…
Kinematic-Based Assessment of Surgical Actions in Microanastomosis
Yan Meng, Daniel Donoho, Marcelle Altshuler +1
Proficiency in microanastomosis is a critical surgical skill in neurosurgery, where the ability to precisely manipulate fine instruments is crucial to successful outcomes. These pr…