443 citations · 584 across the 33 of their papers we have counts for
13 papers · 1 filter
Real-Time Multimodal Activity-Aware Error Detection in Robot-Assisted Surgery
Seyed Hamid Reza Roodabeh, Zongyu Li, Homa Alemzadeh
Robot-assisted minimally invasive surgery improves surgical precision but introduces complexity, making technical error detection essential for ensuring patient safety. Current exe…
A Comprehensive Analysis of the Effects of Network Quality of Service on Robotic Telesurgery
Zhaomeng Zhang, Seyed Hamid Reza Roodabeh, Homa Alemzadeh
The viability of long-distance telesurgery hinges on reliable network Quality of Service (QoS), yet the impact of realistic network degradations on task performance is not sufficie…
MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Andrew Hawkins +3
Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We…
Multimodal Transformers for Real-Time Surgical Activity Prediction
Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Kay Hutchinson +1
Real-time recognition and prediction of surgical activities are fundamental to advancing safety and autonomy in robot-assisted surgery. This paper presents a multimodal transformer…
Towards Interpretable Motion-level Skill Assessment in Robotic Surgery
Kay Hutchinson, Katherina Chen, Homa Alemzadeh
Purpose: We study the relationship between surgical gestures and motion primitives in dry-lab surgical exercises towards a deeper understanding of surgical activity at fine-grained…
Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition using Kinematic Data
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Fine-grained activity recognition enables explainable analysis of procedures for skill assessment, autonomy, and error detection in robot-assisted surgery. However, existing recogn…
COMPASS: A Formal Framework and Aggregate Dataset for Generalized Surgical Procedure Modeling
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Purpose: We propose a formal framework for the modeling and segmentation of minimally-invasive surgical tasks using a unified set of motion primitives (MPs) to enable more objectiv…
Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments
Kay Hutchinson, Zongyu Li, Leigh A. Cantrell +2
Background Analyzing kinematic and video data can help identify potentially erroneous motions that lead to sub-optimal surgeon performance and safety-critical events in robot-assis…
A Reactive Autonomous Camera System for the RAVEN II Surgical Robot
Kay Hutchinson, Mohammad Samin Yasar, Harshneet Bhatia +1
The endoscopic camera of a surgical robot provides surgeons with a magnified 3D view of the surgical field, but repositioning it increases mental workload and operation time. Poor…
Real-Time Context-aware Detection of Unsafe Events in Robot-Assisted Surgery
Mohammad Samin Yasar, Homa Alemzadeh
Cyber-physical systems for robotic surgery have enabled minimally invasive procedures with increased precision and shorter hospitalization. However, with increasing complexity and…
Context-aware Monitoring in Robotic Surgery
Mohammad Samin Yasar, David Evans, Homa Alemzadeh
Robotic-assisted minimally invasive surgery (MIS) has enabled procedures with increased precision and dexterity, but surgical robots are still open loop and require surgeons to wor…
Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data
Homa Alemzadeh, Ravishankar K. Iyer, Zbigniew Kalbarczyk +2
Understanding the causes and patient impacts of surgical adverse events will help improve systems and operational practices to avoid incidents in the future. We analyzed the advers…
Systems-theoretic Safety Assessment of Robotic Telesurgical Systems
Homa Alemzadeh, Daniel Chen, Andrew Lewis +4
Robotic telesurgical systems are one of the most complex medical cyber-physical systems on the market, and have been used in over 1.75 million procedures during the last decade. De…