AI Highlights
Overview
AI Highlights by CapsoVision is an AI-assisted reading tool designed to support physicians in the review of small bowel capsule endoscopy studies. It is intended for use with the CapsoCam Plus system for adult and pediatric patients (over two years of age) undergoing capsule endoscopy due to suspected small bowel bleeding.
- What it does: The tool analyzes frames captured by the CapsoCam Plus capsule and identifies images containing suspected abnormal lesions. These images are then highlighted and prioritized for physician review.
- Who it is for: AI Highlights is for gastroenterologists and other trained healthcare professionals who review small bowel capsule endoscopy studies. It is applicable in care settings where CapsoCam Plus capsule endoscopy is performed.
- How it fits a clinical or practice workflow: AI Highlights integrates with CapsoView, CapsoVision’s video processing and review software, and supports workflows connected to the CapsoCloud platform. This integration allows for AI-processed studies to be reviewed within existing CapsoView or CapsoCloud workflows, potentially supporting remote review and case management.
- Notable capabilities: The primary capability is the recognition and marking of suspected abnormal lesions to prioritize them for physician review, with the aim of reducing the time taken to review capsule endoscopy images. It functions within the CapsoVision ecosystem without requiring a separate AI platform.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-assisted review of small bowel capsule endoscopy studies
- Identifies and marks suspected abnormal lesions
- Prioritizes images for physician review
- Integrates with CapsoView software
- Supports CapsoCloud workflows
- Designed to reduce review time
- Supports remote physician review and case management via CapsoCloud
- Analyzes frames captured by CapsoCam Plus capsule
- Curated video presentation of suspected pathology
- Available in the European Union under Medical Device Regulation (MDR)
Use Cases
- Reducing physician review time for small bowel capsule endoscopy studies
- Prioritizing review of images with suspected abnormal lesions
- Supporting diagnostic interpretation of small bowel bleeding in adults and pediatric patients (2+ years)
- Streamlining capsule endoscopy workflow
- Facilitating remote physician review and collaboration
- Improving reading performance as capsule endoscopy adoption expands
What Physicians Need to Know
Utilize AI Highlights to streamline the review of small bowel capsule endoscopy studies, focusing your attention on frames flagged with suspected abnormal lesions. Remember that the AI is a support tool and does not replace your diagnostic interpretation. Integrate this tool into your existing CapsoView and CapsoCloud workflows for efficient case management and remote review. Pay close attention to the highlighted images for potential bleeding, angioectasias, and ulcers, especially in patients with suspected small bowel bleeding. This can significantly reduce manual review time, allowing for more efficient diagnosis and treatment planning.
AI Highlights is seamlessly integrated into CapsoVision's proprietary ecosystem, including the CapsoView video processing and review software and the CapsoCloud platform. This allows for secure, cloud-based image storage and access, as well as flexible remote review from authorized workstations. The system supports both local/in-office workflows with CapsoAccess and remote workflows via CapsoCloud and CapsoVision Download Centers.
Details
| Category | Gastroenterology AI, Radiology & Imaging AI |
| Pricing | Unknown — unknown |
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Unknown AI Highlights received FDA clearance on September 25, 2026. It is cleared for use in reviewing small bowel capsule endoscopy studies for suspected small bowel bleeding in adults and pediatric patients aged two years and above. |
| Integrations | |
| EHR | Not specified |
| Specialties | Gastroenterology |
What the Web Says
CapsoVision's AI Highlights is an AI-assisted reading tool for their CapsoCam Plus capsule endoscopy system, designed to help physicians review small bowel capsule endoscopy studies, particularly for suspected small bowel bleeding. The tool analyzes images and flags suspected abnormal lesions, prioritizing them for physician review to reduce overall review time. It integrates with CapsoVision's CapsoView software and CapsoCloud platform, allowing for streamlined workflows and potentially remote review.
Overall: PositiveStrengths
- Reduces time physicians spend reviewing capsule endoscopy studies.
- Flags and prioritizes images with suspected abnormal lesions for physician review.
- Integrates seamlessly with CapsoVision's existing CapsoView software and CapsoCloud platform.
- Supports remote physician review and case management through CapsoCloud.
- Aids in the review of studies for both adult and pediatric patients (over two years of age).
- Received FDA clearance in the U.S. and launched internationally in the EU.
Limitations
- Intended for use by trained healthcare professionals and does not replace diagnostic interpretation by gastroenterologists.
- Cleared use is limited to studies for suspected small bowel bleeding.
- CapsoCloud remote access is available only where and when the service is offered.
- No specific physician reviews or opinions found outside of official press releases and news articles.
- No reviews found on G2 or Capterra specifically for "AI Highlights" by CapsoVision.
- One Reddit comment about CapsoVision's CapsoCam Plus (not specifically AI Highlights) mentions the inconvenience of needing to retrieve the pill from stool.
Based on reviews from: Becker's ASC Review, Webull, Moomoo, StreetInsider, Capsovision Official Website, GLOBE NEWSWIRE (via Mon, 08/03/2026), Facebook (CapsoVision), The HealthTech Signal, Stock Titan, Investing.com India, Nasdaq, Instagram (jaim_journal), Reddit (r/StockTitan, r/IBD), ResearchGate
Last updated: 2026-10-20
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