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公开(公告)号:US20240028762A1
公开(公告)日:2024-01-25
申请号:US18026641
申请日:2021-09-15
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Amar S. CHAUDHRY , Frank RUDZICZ , Tianbao LI , Shuja KHALID , Kevin YANG , Teodor Pantchev GRANTCHAROV
IPC: G06F21/62 , G16H10/60 , G06F3/0482
CPC classification number: G06F21/6254 , G16H10/60 , G06F3/0482
Abstract: Systems, devices, and methods of configuring and operating a de-identification system are provided. At least one electronic data model is maintained, which includes a plurality of de-identification requirements for removing personal information from clinical data obtained in a clinical environment, the plurality of de-identification requirements including requirements applicable to at least one jurisdiction of a plurality of jurisdictions. An identifier identifying one of the jurisdictions is received. The data model is traversed to determine a subset of the de-identification requirements applicable to the identified jurisdiction. Data defining a user selection of operating parameters of the de-identification system are received. The user selection is analyzed for conformity with the subset of de-identification requirements. In response to determining the user selection conforms with the subset of de-identification requirements, a signal is generated indicating the conformity. A configuration data structure is generated including data reflective of the user selection of operating parameters.
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公开(公告)号:US11568542B2
公开(公告)日:2023-01-31
申请号:US16859691
申请日:2020-04-27
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Tomas Jaan Saun , Teodor Pantchev Grantcharov , Amar S. Chaudhry , Juliana De La Vega Fernandez
Abstract: An object or body-mounted camera apparatus for recording surgery is provided that is adapted for tracking a relevant visual field of an on-going operation. To help maintain visibility and/or focus of the visual field, specific machine learning approaches are proposed in combination with control commands to shift a physical positioning or a perspective of the camera apparatus. Additional variations are directed to tracking obstructions based on the visual field of the camera, which can be utilized for determining a primary recording for use when there are multiple cameras being used in concert.
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公开(公告)号:US20200367974A1
公开(公告)日:2020-11-26
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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公开(公告)号:US20170249432A1
公开(公告)日:2017-08-31
申请号:US15512992
申请日:2015-09-23
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Teodor Pantchev GRANTCHAROV
CPC classification number: G16H40/63 , G06F1/12 , G06F19/321 , G06F19/3481 , G16H10/60 , G16H50/50 , H04L12/1831 , H04L63/0272 , H04L63/0407 , H04L63/0421 , H04L63/0428
Abstract: A multi-channel recorder/encoder for collecting, integrating, synchronizing and recording medical or surgical data received as independent live ware units. The medical or surgical data relating to a live or real-time medical procedure. Example hardware units include a control interface, cameras, sensors, audio devices, and patient monitoring hardware. Further example systems may include a cloud based platform incorporating the encoder.
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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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公开(公告)号:US11322248B2
公开(公告)日:2022-05-03
申请号:US15561877
申请日:2016-03-24
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
Inventor: Teodor Pantchev Grantcharov , Kevin Lee Yang
IPC: G16H40/20 , G06N20/00 , G16H50/50 , G06F17/40 , G16H20/40 , G16H40/67 , G16H30/20 , G16H40/63 , A61B5/00 , G06F1/12 , H04L29/06
Abstract: A multi-channel recorder/encoder for collecting, integrating, synchronizing and recording medical or surgical data received as independent live or real-time data streams from a plurality of hardware units. The medical or surgical data relating to a live or real-time medical procedure. Example hardware units include a control interface, cameras, sensors, audio devices, and patient monitoring hardware. Further example systems may include a cloud based platform incorporating the encoder.
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公开(公告)号:US20210076966A1
公开(公告)日:2021-03-18
申请号:US17035417
申请日:2020-09-28
Applicant: SURGICAL SAFETY TECHNOLOGIES INC.
IPC: A61B5/0468 , A61B5/024 , G06F16/78 , G06F16/783 , G06N20/00
Abstract: A computer implemented system for automatically recording and generating predictive outputs relating to a medical procedure is described. The system is augmented with biometric sensory data from a biometric sensor coupled to a body of a healthcare practitioner. The biometric sensory data is processed to obtain one or more time-synchronized data objects providing a proxy to an estimated stress level associated with the healthcare practitioner, and the one or more time-synchronized data objects are utilized to identify abnormality-related durations of time encapsulated in the form of time-based metadata tags. The time-based metadata tags are utilized to automatically modify characteristics of the recording or generating of predictive outputs to temporarily consume more computational processing resources during the abnormality-related durations of time.
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公开(公告)号:US20200265273A1
公开(公告)日:2020-08-20
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
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:US20250166617A1
公开(公告)日:2025-05-22
申请号:US18954493
申请日:2024-11-20
Applicant: Surgical Safety Technologies Inc.
Inventor: Filip GRANTCHAROV , Peter Dupont GRANTCHAROV , Po-Chieh LIU , Kee TANG , Amar S. CHAUDHRY , Zhifeng ZHANG
IPC: G10L15/16 , G10L15/30 , G10L25/57 , H04N19/103 , H04N19/136
Abstract: A local machine learning based recording and audio transcribing system is proposed that operates in real-time in parallel and time-synchronized with a operating theatre recorder system, modifying encoding of the operating theatre recorder system outputs for generation of the pre-processed recording files to be transmitted to a remote cloud-based processing backend using operating a centralized machine learning model data architecture across a network. By modifying the recording or the generation of the pre-processed recording files, the system can be tuned for providing increased signal resolution at more relevant portions of time or frame portions to improve the accuracy and predictive capability of a backend machine learning model that is configured for operation using the pre-processed recording files while adapting for practical network bandwidth and computing resource limitations in cloud-based implementations.
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