Precision Analytics, Clinical Velocity.
Mederi AI reduces the capsule endoscopy review bottleneck, transforming hours of video into minutes of actionable insights.
The Technology Shift
Don't Miss the Story Between the Frames.
Conventional AI flags bubbles and bile as lesions because it lacks context. Mederi's engine tracks objects across time, filtering noise and highlighting only clinical anomalies.
Traditional AI
Conventional systems operate at the single-frame level, lacking temporal awareness. This leads to higher variability, fragmented detections, and inconsistent results, limiting clinical usability and requiring significant manual validation by physicians.
MederiAI
MederiAI analyzes sequences of frames over time, incorporating temporal context to interpret motion, continuity, and subtle visual patterns. This approach reduces false positives, enables automated alignment and tracking of findings, and produces structured, clinically actionable outputs that support efficient and reliable review.
Built on Diverse, High-Fidelity Data.
Built on a large, clinically validated capsule endoscopy dataset, MederiAI is trained on thousands of real-world videos from multiple European hospitals. The dataset includes densely annotated frames with temporal context across lesions, anatomy, and mucosal quality, enabling robust real-world performance and continuous improvement through clinician feedback.
Smart Diagnostics, Simplified
Bridge the gap between data and discovery. Our AI scales your clinical expertise by automating prep scoring, localization, and high-priority alerting in real-time
High-Priority Alerts
Immediate flagging of critical findings such as active bleeding or capsule retention. Alert the clinicians directly through SMS or email.
Standardizing Bowel Prep Assessment
Eliminate subjective grading. The AI evaluates mucosal visibility frame-by-frame to generate an objective, segment-by-segment cleanliness score, securing diagnostic quality and supporting confident reimbursement.
Automated Lesion Localization
Know exactly where to intervene. The AI automatically detects and classify multiple lesion types while estimating key anatomical landmarks to map the capsule's position along the GI tract.
Lesion size estimation
MederiAI automatically estimates the dimensions of lesions, helping track disease progression with quantitative confidence.
Comparative Analysis
Comparative Analysis
MederiAI
Ready to see the data?
Download our technical whitepaper for detailed performance metrics, architecture specifications, and validation studies