The AI-Powered Medical Diagnostics Assistant is designed to bridge the healthcare gap in remote and underdeveloped regions by offering real-time, AI-driven diagnostic insights without relying on cloud infrastructure. This mobile application uses advanced AI/ML models to analyze multimodal data—such as X-rays, CT scans, and patient-reported symptoms via text or speech—to detect multiple diseases including diabetes, heart disease, and Parkinson’s. By operating on low-latency edge devices, the app ensures that healthcare providers in areas with poor internet connectivity can still access reliable diagnostic tools. The system also recommends follow-up tests and referrals, improving the quality and timeliness of medical care in underserved communities.
Category tags:"Impactful solution to healthcare disparities in remote areas"
Theodoros Ampas
Technical Mentor