ColoDetect AIColorectal Disease Detection
Clinical grade AI analysis of colonoscopy images. Detect colorectal cancer, hemorrhoids, ulcerative colitis and more with over 97% accuracy.
95.89%
Accuracy
49
Images Analyzed
24/7
Available
5
Registered Users
Disease Library
Seven Pathology Classes
ColoDetect AI classifies colonoscopy frames into clinically meaningful categories, each with tailored guidance for next-step management.
External Hemorrhoid
Hemorrhoids that develop under the skin around the anus causing discomfort, itching, swelling, and pain.
Internal Hemorrhoid
Swollen blood vessels inside the rectum that may cause painless rectal bleeding, especially during bowel movements.
Colorectal Cancer
A cancer that develops in the colon or rectum, often from precancerous polyps. Early detection through screening greatly improves treatment success.
Inadequate Preparation
Insufficient bowel preparation that limits the diagnostic quality of the colonoscopy examination.
Normal
A healthy colorectal appearance with no abnormalities, lesions, or pathological findings detected.
Polyp
A small clump of cells that forms on the lining of the colon. Most polyps are harmless but some can become cancerous.
Ulcerative Disease
Chronic inflammatory bowel disease causing ulcers in the colon's lining, requiring prompt diagnosis and management.
About ColoDetect AI
AI-Powered Colorectal Disease Classification & Clinical Reporting
ColoDetect AI was founded with a clear objective: to assist endoscopists and healthcare organizations in identifying colorectal abnormalities early. By training deep-learning models on tens of thousands of validated colonoscopy frames, the software serves as a trustworthy clinical safety net.
Project Contributors
Features
Precision Clinical Capabilities
Empowering clinics with accurate diagnostic assets in colorectal screening.
Printable Clinical Report Generation
Downloadable clinical PDF summaries with structured recommendations, patient parameters, and imagery.
Multi-Image Analysis per Session
Analyze multiple colonoscopy images in a single session. Each image is individually assessed, and the system intelligently determines the most critical (highest-severity) disease as the primary diagnosis while recording all findings.
Category-Wise Sample Image Library
A built-in, category-filtered image gallery of labeled colonoscopy specimens. Browse by disease type, study real visual patterns, and instantly run AI analysis on any selected sample image — all in one place.
Administrative Console
Dedicated admin dashboard to manage patient categories, site presets, user permissions, and contact inquiries.
Clinician Reference Library
A built-in medical database linking detected findings to symptoms, severity grades, and recommended treatment protocols.
Responsive Cross-Device Experience
Highly responsive user interface optimized from handheld mobile tablets to high-resolution widescreen displays.
Secure User Authentication
Compliant enterprise authentication using Clerk security to safeguard patient diagnostic contexts.
FAQ
Common Questions
Everything clinicians and administrators want to know before deployment.
Contact
Begin Clinical Deployment
Get in touch with our solutions engineers to schedule a demo or trial deployment.
Phone Support
+8801865853653
Support Email
durjoybarua8115@gmail.com
Location
Chattogram, Bangladesh