Ceevra
About Ceevra
Ceevra is a leading healthcare AI company specializing in advanced surgical visualization. The company leverages machine learning (ML) and computer vision algorithms to transform standard CT and MRI scans into detailed, interactive, patient-specific 3D digital models. These models are designed to provide surgeons with enhanced anatomical understanding for comprehensive preoperative planning, improved intraoperative decision-making, and effective patient counseling.
Ceevra’s software, including its product “Ceevra Reveal 3+”, is FDA-cleared and CE Marked, supporting a wide range of surgical specialties such as urologic, thoracic, general, hepatobiliary (HPB), and gynecologic procedures. In 2023, Ceevra achieved a significant milestone by becoming the first company to receive FDA clearance for using ML to generate 3D images specifically for urologic and thoracic surgical planning. The interactive 3D models are accessible across various platforms, including mobile devices, computers, and integrated robotic surgical displays, facilitating seamless integration into existing clinical workflows.
The implementation process is streamlined: hospital IT staff install the software and connect it to the Picture Archiving and Communication System (PACS), after which a surgeon’s assistant uploads patient CT/MRI data to Ceevra’s HIPAA-compliant cloud. Ceevra’s AI-driven software, supported by in-house imaging technologists, then generates the 3D model typically within two business days. This technology aims to improve surgical outcomes, contribute to organ preservation, reduce hospital stays, and potentially lower the risk of cancer recurrence by providing surgeons with unparalleled anatomical insights.
Focus Areas
Business Intelligence
| Partnerships | Providence Swedish, Saint John's Cancer Institute, University of Alabama at Birmingham, University of Colorado Anschutz Medical Campus, Memorial Sloan Kettering Cancer Center, AdventHealth |
| Technology | Cloud-native, edge computing (mobile devices), AI operating system (machine learning and computer vision algorithms), HIPAA-compliant cloud |
| FDA Clearances | 3 cleared products (estimated) |
What Physicians Need to Know
For physicians, Ceevra offers a 'GPS-like' understanding of patient-specific anatomy, significantly enhancing preoperative planning by allowing anticipation of surgical difficulties and optimization of approaches to achieve desired margins. This leads to improved surgical precision and potentially reduced operative time and complications. The interactive 3D models are also an invaluable tool for patient counseling, improving patient understanding of their condition and proposed treatment, thereby reducing anxiety. With minimal IT burden and models generated by Ceevra's team, it integrates smoothly into the surgical workflow, providing accessible and tailored anatomical insights on various devices.
Ceevra's software is designed for simple integration; hospital IT staff installs the software on end-user computers and connects it to the hospital PACS for secure, HIPAA-compliant uploading of patient CT/MRI scans to Ceevra's cloud. The 3D models are then accessible on a variety of devices, including phones, tablets, laptops, and surgical robotic displays. The system is also optimized for viewing in virtual reality environments.
What the Web Says
Ceevra appears to be a company with a strong product offering, particularly praised for its 3D anatomical models that aid surgical planning and patient education. Reviews highlight the product's accuracy and ease of use, leading to improved surgical outcomes and patient understanding. However, information regarding the company as an employer is less readily available, with limited public reviews on platforms like Glassdoor.
Overall: PositiveStrengths
- Highly accurate and detailed 3D anatomical models
- Significantly improves surgical planning and precision
- Enhances patient education and understanding of procedures
- Easy to use and integrate into existing workflows
- Reduces operating room time and potential complications
- Positive impact on surgical outcomes and patient satisfaction
Limitations
- Limited public information and reviews about the company as an employer
- Specific pricing details are not widely available in public reviews
- Potential learning curve for new users, though generally considered intuitive
- Reliance on high-quality imaging data for optimal model generation
- No readily available negative product reviews found across major platforms
- Lack of diverse employer feedback to assess workplace culture comprehensively
Based on reviews from: G2, Capterra, Healthcare IT News (implied through product focus), Reddit (limited relevant results)
Last updated: 2026-07-20
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