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«Ex astris - scientia»
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«Ex astris - scientia»
The SurgHub edge platform uses computer vision technology to analyze surgical video in real time. The main AI modules: 1) Recognition of anatomical structures 2) Defining the stages of the operation 3) Tracking tools 4) Formation of operational reports The platform is adapted to the existing endovideosurgical complexes.
To achieve standardization of surgical care using a computer vision system.
Pre-seed. We have a team of enthusiastic surgeons, we have already collected more than 300 videos of targeted laparoscopic operations to form an annotated dataset. In the negotiation stage with technical specialists who have relevant experience in another area.
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Core Development
Development of the basic architecture of the edge platform, data annotation
Development of the 1st module of laparoscopic cholecystectomy
Integration with laparoscopic racks via capture cards (4K, 60fps) Development of the CVS AI module
Adaptation and validation
Performance optimization: latency <100 ms, sensitivity ≥95% for critical structures
Sales/ completion of 3 more modules
HerniaGuide SkillScore SurgAR Clinical validation
Opening of the platform
Launching a platform for third-party developers: open SDK, API, documentation
The SurgHub edge platform uses computer vision technology to analyze surgical video in real time. The main AI modules: 1) Recognition of anatomical structures 2) Defining the stages of the operation 3) Tracking tools 4) Formation of operational reports The platform is adapted to the existing endovideosurgical complexes.
To achieve standardization of surgical care using a computer vision system.
Pre-seed. We have a team of enthusiastic surgeons, we have already collected more than 300 videos of targeted laparoscopic operations to form an annotated dataset. In the negotiation stage with technical specialists who have relevant experience in another area.
Development of the basic architecture of the edge platform, data annotation
Integration with laparoscopic racks via capture cards (4K, 60fps) Development of the CVS AI module
Performance optimization: latency <100 ms, sensitivity ≥95% for critical structures
HerniaGuide SkillScore SurgAR Clinical validation
Launching a platform for third-party developers: open SDK, API, documentation
Core Development
Development of the basic architecture of the edge platform, data annotation
Development of the 1st module of laparoscopic cholecystectomy
Integration with laparoscopic racks via capture cards (4K, 60fps) Development of the CVS AI module
Adaptation and validation
Performance optimization: latency <100 ms, sensitivity ≥95% for critical structures
Sales/ completion of 3 more modules
HerniaGuide SkillScore SurgAR Clinical validation
Opening of the platform
Launching a platform for third-party developers: open SDK, API, documentation