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公开(公告)号:US11645745B2
公开(公告)日:2023-05-09
申请号:US16791919
申请日:2020-02-14
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Haiqi Wei , Teodor Pantchev Grantcharov , Babak Taati , Yichen Zhang , Frank Rudzicz , Kevin Lee Yang
CPC classification number: G06K9/6268 , G06K9/6271 , G06N3/0481 , G06N3/084 , G06N20/10 , G06T3/0093 , G06T7/0012 , G06V10/70 , G06V20/44
Abstract: Embodiments described herein may provide devices, systems, methods, and/or computer readable medium for adverse event detection and severity estimation in surgical videos. The system can train multiple models for adverse detection and severity estimation. The system can load selected models for real-time adverse event detection and severity estimation.
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公开(公告)号:US11596482B2
公开(公告)日:2023-03-07
申请号:US16881906
申请日:2020-05-22
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Shuja Khalid , Mitchell Geoffrey Goldenberg , Teodor Pantchev Grantcharov , Babak Taati , Frank Rudzicz
Abstract: Computer implemented methods and systems are provided for training a machine learning architecture for surgical performance tracking and measurement based on surgical procedure video data set. The methods and systems include, in a first aspect, a sequential relation architecture and a dimensionality reduction architecture. In a second aspect, the methods and systems include a surgical instrument instance segmentation architecture, a decomposition model, and a sequential relation architecture. The video data is processed on a frame level to generate compressed or reduced representations of the video data.
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