Surgical Reality
About Surgical Reality
Surgical Reality is a healthcare AI company that specializes in advanced AI-powered 3D medical imaging and surgical planning software for thoracic surgery. Their core product, the Surgical Reality Viewer, converts standard CT scans into high-fidelity, patient-specific 3D models of the entire lung within minutes. This technology is designed to assist trained healthcare professionals with preoperative and intraoperative visualizations, enabling anatomical visualization, margin assessment, and navigation during VATS (Video-Assisted Thoracic Surgery) and RATS (Robotic-Assisted Thoracic Surgery) procedures.
For physicians, Surgical Reality’s solution offers significant advantages, particularly as thoracic surgery increasingly moves towards complex, lung-sparing procedures like segmentectomies. Traditional 2D imaging can be insufficient for these intricate operations, and Surgical Reality provides the necessary 3D tools to navigate segmental anatomy with confidence. The interactive 3D models allow surgeons to define resection margins, add measurements, and even deform the patient’s anatomy intra-operatively to simulate each step of the procedure. This enhanced visualization and planning can lead to stronger preoperative consensus, improved surgical margins, reduced operating times (approximately 20-30 minutes), and faster patient recovery. The software is PACS-integrated and runs locally within the hospital network, ensuring data privacy and security.
Focus Areas
Business Intelligence
| Key Investors | LUMO Labs, Graduate Entrepreneur, Horizon Flevoland |
| Partnerships | Erasmus MC |
| Acquisitions | unknown |
| Technology | AI-driven anatomical segmentation algorithms, 3D volume rendering, interactive and deformable 3D models, PACS integration, on-premise software |
| FDA Clearances | 1 (Surgical Reality Viewer is CE- and FDA-certified) cleared products (estimated) |
What Physicians Need to Know
For physicians, Surgical Reality offers a powerful and intuitive solution to enhance precision in lung surgery. The AI-powered 3D models provide deeper anatomical insights, leading to better confidence and awareness of anatomy, stronger preoperative consensus, and an increased number of effective surgical margins. The interactive and deformable 3D models can be used for pre-operative planning and real-time intraoperative guidance, potentially reducing operating time and complications, and leading to faster patient recovery. The system's ability to automatically detect bronchovascular anatomical variations is particularly valuable for complex cases. Furthermore, the platform is designed to seamlessly integrate into existing clinical workflows, resembling standard DICOM viewers for easy adoption.
Surgical Reality Viewer runs locally and integrates directly with PACS using least-privileged access controls, ensuring all patient data remains securely within the hospital network without external transfer. It can also connect to Robotic-Assisted Thoracic Surgery (RATS) consoles for side-by-side 3D visualization and Video-Assisted Thoracic Surgery (VATS) towers for intraoperative 3D display, optimizing speed and seamless integration into daily surgical workflows.
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