연구 분야: Artificial Intelligence
학회: 2024 International Conference on IT Innovation and Knowledge Discovery (ITIKD)
Neurological diseases such as Stroke, Tumors, and Alzheimer's disease pose major challenges to healthcare systems worldwide. Rapid and accurate diagnosis is essential for timely treatment, but traditional diagnostic methods are often ineffective, leading to misdiagnosis and treatment delays. MindMedix, an AI-powered platform, aims to revolutionize the diagnosis and treatment of neurological diseases. By integrating patient medical history, symptoms, and MRI data, it provides highly accurate and personalized treatment recommendations. The platform leverages deep learning techniques and Explainable AI (XAI) models to enhance decision-making and ensure interpretability. MindMedix reduces diagnostic errors, minimizes wait times, and improves patient outcomes. The study presents a comparative analysis of existing AI-based diagnostic tools, demonstrating MindMedix's superior accuracy and efficiency.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 92 |
| 출판 국가 | Andorra |
| 사이트 | IEEE |
| 좋아요 수 | 0 |