SKOUT Software
Overview
SKOUT Software, developed by Iterative Scopes (also known as Iterative Health), is an FDA-cleared, real-time computer-aided detection (CADe) system designed to assist gastroenterologists during colonoscopy examinations. It leverages advanced artificial intelligence and computer vision technologies to recognize and highlight suspicious colorectal polyps on the endoscopic video feed. The system aims to improve the accuracy and consistency of polyp detection, thereby enhancing colorectal cancer screening and surveillance. SKOUT provides visual feedback to the physician, drawing a bounding box around potential polyps, without significantly increasing procedure time. It is intended as an assistive tool and not a replacement for the physician’s medical judgment or a full patient evaluation.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Real-time computer-aided polyp detection during colonoscopies
- Utilizes advanced computer vision technology to recognize suspicious tissue
- Provides visual feedback with a bounding box around potential polyps on the endoscopic video feed
- Demonstrated a 27% relative increase in adenomas detected per colonoscopy
- Does not significantly increase total procedure or withdrawal time
- Assists qualified and trained gastroenterologists in identifying polyps
- Indicated for white light colonoscopy only
- Bounding box automatically disappears when a medical tool enters the frame
- Enhances detection of challenging abnormalities, including sessile polyps
Use Cases
- Enhancing colorectal cancer screening procedures
- Improving colorectal cancer surveillance examinations
- Assisting gastroenterologists in real-time polyp identification during colonoscopies
- Increasing adenoma detection rates to improve patient outcomes
- Supporting consistently high-quality procedures for physicians
What Physicians Need to Know
Utilize SKOUT as an assistive tool to augment human perception during colonoscopy, providing an 'extra set of eyes' for polyp detection, especially for subtle or flat lesions. Remember that SKOUT is intended to assist and not replace physician judgment; always confirm the presence or absence of a polyp based on your medical expertise. Integrate it into your workflow to potentially enhance ADR and APC, contributing to improved patient outcomes in colorectal cancer screening and surveillance. Be aware that the system is designed for white light colonoscopy and will pause detection when endoscopic tools are in the field of view to ensure an unobstructed view during intervention.
SKOUT is engineered for seamless integration with existing clinical endoscopy systems and workflows, without increasing total procedure or withdrawal time. It connects via hardware components to support interfacing with an endoscope. Provation, a leader in GI documentation, acts as an exclusive distributor, suggesting potential for streamlined data flow into documentation systems, although specific documentation features of SKOUT itself are not detailed.
Details
| Category | Gastroenterology AI |
| Pricing | Contact for pricing |
| Deployment | Software device that integrates with existing colonoscopy equipment and video feeds. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated SKOUT Software received 510(k) clearance (K213686) from the U.S. Food and Drug Administration (FDA) on August 12, 2022. It is indicated as a computer-aided detection tool to assist qualified and trained endoscopists in identifying potential colorectal polyps during colonoscopy examinations in adult patients undergoing colorectal cancer screening or surveillance. |
| Integrations | |
| EHR | Not specified |
| Specialties | Gastroenterology |
What the Web Says
SKOUT Software, particularly known for its Iterative Scopes platform, receives generally positive to mixed reviews from physicians and healthcare IT professionals. It is recognized for its AI-driven solutions in gastroenterology, aiming to improve diagnostic accuracy and efficiency in colonoscopy procedures. While praised for its innovative technology and potential to enhance patient outcomes, some users point to the learning curve and integration challenges.
Overall: PositiveStrengths
- AI-powered polyp detection and characterization improves diagnostic accuracy.
- Enhances efficiency during colonoscopy procedures.
- Strong potential for improving patient outcomes in gastroenterology.
- Positive feedback on the innovative use of technology in healthcare.
- Aids in standardizing reporting and data collection.
- May reduce variability in physician performance.
Limitations
- Steep learning curve for some medical professionals.
- Integration challenges with existing hospital IT infrastructure.
- Cost of implementation and ongoing maintenance can be a barrier.
- Reliance on technology may reduce physician vigilance in some cases.
- Limited information on long-term efficacy and cost-effectiveness from independent studies.
- Some users report initial workflow disruptions.
Based on reviews from: G2, Capterra, Reddit (healthcare IT discussions), Healthcare IT News, Medical journal articles (referencing Iterative Scopes), Physician forums and reviews
Last updated: 2026-07-20
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