P11 : Instant Skin Cancer Diagnosis: AI Hybrid Neural Networks with Precise Evolution Tracking


Students Anthony Efthimiadis
School HDSB - Oakville Trafalgar High School - Oakville
Level Intermediate 9/10 - Grade 9
Group Group 8 - Engineering and Computing II
Abstract The purpose of this research is to develop an AI-based software system capable of instantly diagnosing all major skin cancers and precancers in non-invasive dermoscopy images. This project introduces innovative technologies like precise evolution tracking and AI-explainable reasoning to accelerate diagnosis and treatment processes, ultimately saving lives. Racial bias is addressed through a novel mathematical algorithm that normalizes skin tone/lighting variance.