Answers to common questions about CardioVis, our technology, and how we support cardiac surgery.
CardioVis is a medical technology company developing an AI-powered copilot for cardiac surgery. Our platform provides real-time intraoperative intelligence — including surgical workflow awareness, safety alerts, motion compensation, and decision support — to help surgical teams operate with greater precision and situational awareness.
No. CardioVis is designed as a decision-support tool that assists, not replaces, the clinical judgment of trained surgeons. All clinical decisions remain the responsibility of the treating physician. Our AI copilot provides situational awareness and predictive information to enhance the surgeon's capabilities.
Our current research and development focus is on minimally invasive and robotic cardiac surgery, including thoracoscopic mitral valve procedures and beating-heart surgery. Our platform architecture is designed to be extensible to additional cardiac procedure types as we advance our clinical evidence base.
Our system analyzes surgical video and sensor data in real time using deep learning models. It performs multiple tasks simultaneously: recognizing the current surgical phase, identifying instruments in use, predicting upcoming workflow steps and their timing, and — in beating-heart procedures — forecasting tissue motion to compensate for latency and movement.
Many AI systems can be overconfident in their predictions. Calibrated confidence means that when our system reports 90% confidence, historical data shows it is correct about 90% of the time. This is critical in surgical settings because the team needs to trust the reliability of displayed information rather than blindly following potentially overconfident predictions.
CardioVis is designed to integrate with existing operating room infrastructure and robotic surgical systems. Our architecture is platform-agnostic and uses standard video and data interfaces. For specific compatibility questions, please contact our team.
Our models are trained on annotated surgical video datasets and validated beating-heart motion datasets. During operation, the system processes real-time surgical video input. It does not require or access patient health records, billing information, or other non-procedural data.
CardioVis is currently in the research and development phase and is pursuing regulatory clearance through the appropriate FDA pathway. The technology described on our website is investigational and not yet cleared or approved for clinical use. Performance metrics are derived from research evaluations.
We take data privacy and security seriously. Our systems are designed with data protection by default, including encryption, access controls, and minimal data collection principles. For full details, please review our Privacy Notice and Product Security page.
Our system is designed to communicate uncertainty transparently. When confidence drops, the system adjusts its behavior — for example, widening prediction intervals, displaying lower-confidence indicators, or switching to conservative safety modes. The goal is to provide honest, actionable information rather than overconfident signals.
We actively collaborate with medical institutions, academic research groups, and industry partners. If your organization is interested in clinical research collaboration, technology evaluation, or integration partnerships, please reach out through our Contact page.
Yes. We are building a multidisciplinary team across AI/ML engineering, clinical science, product development, and operations. Visit our Careers page for current opportunities.
Please visit our Contact page or email us at [email protected]. We typically respond within one business day.