Cataract-LMM is a new multi-source dataset of 3000 annotated phacoemulsification videos enabling benchmarks for phase recognition, scene segmentation, interaction tracking, and automated skill assessment.
npj Digital Medicine5(1), 163 (Oct 2022)
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A mixed-methods user study with 17 surgeons produced design guidelines and the CVS Copilot HMI for role-adaptive, minimally intrusive AI support in laparoscopic cholecystectomy.
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Cataract-LMM Large-Scale Multi-Source Multi-Task Benchmark for Deep Learning in Surgical Video Analysis
Cataract-LMM is a new multi-source dataset of 3000 annotated phacoemulsification videos enabling benchmarks for phase recognition, scene segmentation, interaction tracking, and automated skill assessment.
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Optimizing Human-Machine Interface for Real-Time AI Support in the Operating Room: the CVS Copilot
A mixed-methods user study with 17 surgeons produced design guidelines and the CVS Copilot HMI for role-adaptive, minimally intrusive AI support in laparoscopic cholecystectomy.