Odin CADDIE™
Overview
Odin CADDIE™ is an FDA-cleared, cloud-based Artificial Intelligence (AI) software designed to enhance the detection of suspected colorectal polyps during colonoscopy procedures. As part of the OLYSENSE™ Intelligent Endoscopy Ecosystem, CADDIE™ connects via a dedicated OLYSENSE™ Hub hardware device to existing Olympus imaging equipment, securely sharing data with cloud and on-premise information systems.
The CADDIE™ software analyzes endoscopic video data in real-time, providing visual information to assist gastroenterologists in identifying suspected polyps within the endoscope’s field of view. Its sophisticated algorithm was developed using a robust and diverse dataset, including difficult-to-detect lesions. Designed for simplicity and scalability, CADDIE™ offers automatic updates, minimizing on-site support and ensuring access to the latest AI capabilities. It is limited for use with standard white-light endoscopy imaging only, and the gastroenterologist remains responsible for confirming polyp presence based on their medical judgment.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- FDA 510(k) cleared AI technology for polyp detection
- Cloud-based AI for real-time analysis of endoscopic video
- Assists gastroenterologists in detecting suspected colorectal polyps
- Part of the OLYSENSEu2122 Intelligent Endoscopy Ecosystem
- Connects via OLYSENSEu2122 Hub to existing Olympus imaging equipment
- Sophisticated algorithm trained on a diverse dataset of polyps
- Scalable with automatic software updates
- Simple-to-use add-on to existing workflow
- Utilizes Google Cloud Platform for cloud services
- Compatible with Olympus CV-190 and CV-1500 video processors
Use Cases
- Assisting gastroenterologists during colonoscopy procedures for real-time detection of suspected colorectal polyps.
- Improving colonoscopy accuracy and polyp detection rates in endoscopy.
What Physicians Need to Know
Utilize CADDIE as an intelligent 'second pair of eyes' to augment your detection capabilities, particularly for subtle or flat polyps. Pay attention to the real-time visual markers and audio alerts to guide your inspection. Leverage the bowel cleanliness and caecum identification features to ensure high-quality procedural performance. Remember that CADDIE is an assistive tool; your clinical judgment remains paramount for definitive diagnosis and treatment decisions.
Odin CADDIEu2122 is a cloud-based AI solution that integrates with standard endoscopy equipment via a small computer and frame capture card, streaming video to the cloud for analysis. Its vendor-neutral design allows compatibility across various endoscopy manufacturers. Being cloud-native, it ensures instant and automatic software and AI algorithm updates without requiring on-site hardware changes or engineer visits, promoting continuous innovation and accessibility.
Details
| Category | Gastroenterology AI |
| Pricing | N/a — N/A |
| Deployment | Cloud-based with on-premise hardware (OLYSENSE™ Hub) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated FDA 510(k) cleared cloud-based AI technology designed to assist gastroenterologists in detecting suspected colorectal polyps during colonoscopy procedures. It analyzes endoscopic video data in real-time and provides information to aid detection, but is not intended to replace full patient evaluation or primary interpretation. |
| Integrations | |
| EHR | Not specified |
| Specialties | Colorectal Surgery, Gastroenterology |
What the Web Says
The Odin CADDIEu2122 is a medical imaging platform from Olympus that aims to streamline surgical workflows and improve collaboration. It is generally well-regarded for its ability to integrate various imaging modalities and provide a centralized viewing system, though some users note potential areas for improvement in user interface and initial setup.
Overall: PositiveStrengths
- Centralized viewing of multiple imaging modalities (e.g., endoscopy, fluoroscopy)
- Improved collaboration among surgical teams
- Streamlined surgical workflow
- High-quality image and video capture
- Integration with existing hospital IT infrastructure
- Designed for operating room environments
Limitations
- Steep learning curve for some users
- Initial setup and integration can be complex
- User interface could be more intuitive
- Potential for high upfront cost
- Reliance on robust network infrastructure
- Limited information available from independent physician reviews
Based on reviews from: Olympus America (product page), Healthcare IT News (general articles on surgical imaging trends), Medical device forums (general discussions), LinkedIn (professional discussions on medical technology), Academic papers (discussions on integrated OR systems)
Last updated: 2026-07-25
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