5 papers
Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier
Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1
The proposed pipeline integrates a representation-flow convolutional neural network with a dynamics- and uncertainty-aware tree-based Gaussian Process classifier. In this framework…
Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
Mohammad Javad Ahmadi, Hamid D. Taghirad
Automated training of surgeons is one of the most crucial factors that significantly minimize surgical training risks and expenses. With recent advances in artificial intelligence…
Explainable AI-Powered Framework for Video-Based Skill Assessment in Cataract Surgery
Mohammad Javad Ahmadi, Hamid D. Taghirad
Persistent shortages in the surgical workforce and inherent limitations of traditional training methods highlight the necessity of automated, data-driven approaches in surgical edu…
Cataract-LMM Large-Scale Multi-Source Multi-Task Benchmark for Deep Learning in Surgical Video Analysis
Mohammad Javad Ahmadi, Iman Gandomi, Parisa Abdi +6
Computer-assisted surgery research requires large, deeply annotated video datasets that capture clinical and technical variability. Existing cataract surgery resources lack the div…
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1
This paper aims to present a novel pipeline for automated surgical skill assessment using video data and to showcase the effectiveness of the proposed approach in evaluating surgeo…