InnoDeep provides a cloud‑based augmented intelligence platform that combines deep‑learning tumor detection with radiologist expertise to deliver faster, high‑precision diagnoses from radiographic images. The service offers remote, AI‑assisted analysis, 3D reconstruction and VR visualization for pre‑operative planning, and integrates with existing PACS systems, helping hospitals and clinics—especially in low‑resource regions—reduce diagnostic time and costs.
Funding
Funding not disclosed
Founders
Product
Problem
Many healthcare systems, especially in low‑resource regions, lack sufficient radiology expertise, leading to long waiting times, delayed cancer diagnoses, and higher treatment costs. Traditional imaging analysis also struggles with limited precision and lacks tools for detailed tumor visualization.
Solution
InnoDeep offers an augmented intelligence platform that combines deep‑learning algorithms with radiologist expertise to deliver faster, more accurate tumor detection in radiographic images. The cloud‑based service enables remote analysis, allowing specialists to review scans without geographic constraints. Integrated 3D reconstruction visualizes tumor anatomy in virtual reality, supporting pre‑operative planning and assessment of treatment response. By automating routine detection tasks and providing high‑precision measurements, the platform reduces diagnostic time and costs while maintaining clinical reliability.
Target Audience
Primary customers are hospitals, radiology clinics, and oncology centers seeking to augment their diagnostic capabilities, particularly in regions with radiologist shortages.
Features
- Deep learning models trained on large imaging datasets for automated tumor detection with reported precision of 98%
- Remote, cloud‑hosted workflow that lets radiologists review and validate AI‑generated findings from any location
- 3D reconstruction and VR immersion tools that render tumor geometry for detailed anatomical assessment and surgical planning
- Secure data transmission and storage complying with healthcare privacy standards
- Integration APIs for seamless connection with existing PACS and radiology information systems