Project Keywords:
AI Diagnostics, Medical Imaging, Colorectal Cancer, Precision Medicine, Polyp Detection
Project Summary
Academic Area:
Project Medium:
AI-Assisted Polyp Detection for Colonoscopy This AI-driven polyp detection system enhances colonoscopy screenings by analyzing endoscopic images in real time. Trained on a dataset of over 220,000 images, this technology helps identify hard-to-detect polyps with low false-positive rates, improving early detection and prevention of colorectal cancer.
Project Achievements
Project Inspiration
Project Social Impact
By improving the accuracy of polyp detection, this medical AI solution enhances early colorectal cancer screening and prevention. The ability to integrate with existing endoscope systems makes it a scalable solution that can be adopted in hospitals and clinics worldwide. This technology empowers doctors with real-time, AI-assisted insights, ultimately saving lives through early detection and intervention.
Project Market Demand
By improving the accuracy of polyp detection, this medical AI solution enhances early colorectal cancer screening and prevention. The ability to integrate with existing endoscope systems makes it a scalable solution that can be adopted in hospitals and clinics worldwide. This technology empowers doctors with real-time, AI-assisted insights, ultimately saving lives through early detection and intervention.