Daniel Donoho
Founder
Surgical Data Science Collective (SDSC)
This non-profit startup analyzes surgical videos using AI to generate performance metrics for surgeons. The platform also creates searchable video libraries with secure backups, providing surgeons with data-driven insights to improve their techniques and patient outcomes.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Software Only
Updated 6 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Modern surgical training often struggles to keep pace with the potential of leading surgeons, resulting in a shortage of skilled surgeons and limiting access to quality care, especially in low and middle-income countries. Millions of hours of captured endoscopic surgical video content remain unwatched and unutilized, hindering knowledge sharing and skill development.
Solution
Surgical Data Science Collective (SDSC) addresses this gap by providing a surgical video platform that leverages AI to unlock insights from surgical data, enhance surgical techniques, and improve patient outcomes. The platform enables surgeons to securely store, organize, and analyze their surgical videos, facilitating remote training, knowledge sharing, and collaboration. AI models detect surgical instruments, analyze tool usage, and identify different stages of a surgical procedure, providing surgeons with data-driven feedback and insights to improve their performance. The platform also fosters a global community of experts, enabling surgeons to share techniques, engage in discussions, and communicate innovations in real-time.
Target Audience
The primary target audience includes surgeons, surgical residents, clinical researchers, and medical educators seeking to improve surgical training, enhance performance, and advance surgical research.
Features
- Secure cloud storage for surgical videos with role-based access controls, SOC2 and HIPAA compliance
- AI-powered analysis of surgical videos, including tool detection, tool usage analysis, and phase recognition
- Interactive tools such as timestamped comments, annotations, and insights sharing
- Content Delivery Networks (CDNs) to ensure speed, scalability, and reliability, even in low-bandwidth environments
- Responsive access from any device with a browser: desktop, tablet, and mobile
- Metadata tagging and filtering system for organizing and searching surgical videos
- Integration with research tools to facilitate data export and analysis