Advantages
- Real-time and continuous blood loss estimation
- Automated and objective, minimizing human error
- Enhances surgical decision-making
- Seamlessly integrates into clinical workflows
- Mobile alerts for timely, remote monitoring
Summary
Inaccurate blood loss estimation during surgery remains a critical challenge, with traditional visual and manual methods prone to error, increasing the risk of complications and poor outcomes. Current alternatives lack real-time accuracy and seamless integration into surgical workflows.
MDCare is a cutting-edge system that integrates deep learning (ResNet-18, YOLOv4), high-resolution imaging, and mass sensing to provide real-time, automated quantification of blood loss from surgical sponges. Achieving over 96% classification accuracy, it eliminates human error, enhances clinical decision-making, and fits seamlessly into existing surgical workflows. What sets MDCare apart is its ability to deliver continuous, objective blood loss data without manual intervention, supported by an intuitive interface and mobile alert system, making it a transformative leap in surgical safety and efficiency.
MDCare process from sponge input to blood loss estimation.
Desired Partnerships
- License
- Sponsored Research
- Co-Development