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Applied AI · Prototype

AI-Assisted Gastrointestinal Lesion Detection System

Development of a high-precision AI-assisted prototype for identifying gastrointestinal polyps and suspicious lesions in endoscopic imagery.

My role: AI algorithm development, medical-image labeling and prototype hardware development.

Medical AIComputer VisionObject DetectionReal-time Inference
AI-Assisted Gastrointestinal Lesion Detection System
AI-assisted diagnostic prototype
Public project overview

AI as an assistant for endoscopic-image analysis

The project focused on identifying adenomatous and hyperplastic polyps and highlighting suspicious lesions in endoscopic imagery. The goal was an applied prototype that could assist faster, more consistent image review.

99.4%Precision
99.2%Recall
99.5%mAP@50
84.3%mAP@50–95

Metrics are from project/model evaluation and are not presented as clinical-performance claims. Implementation and integration details are intentionally omitted to respect company intellectual property.

What I can share publicly

Object-detection algorithm development for medical imagery

Medical-image labeling and dataset preparation

Prototype hardware development and project evaluation