most citedOpen-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

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cs.CV2026

An Integrated Video-AI Platform for Action-Level Microanastomosis Training and Performance Feedback

Yan Meng, Daniel A. Donoho

Developing microanastomosis skill requires repeated practice with timely, action-specific feedback, yet expert review of lengthy microscope videos does not scale to frequent or dis…

cs.CV2026

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…

cs.CV2026

An AI Framework for Microanastomosis Motion Assessment

Yan Meng, Eduardo J. Torres-Rodríguez, Marcelle Altshuler +5

Proficiency in microanastomosis is a fundamental competency across multiple microsurgical disciplines. These procedures demand exceptional precision and refined technical skills, m…

cs.CV2025

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…

cs.CV2025

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…