Medical Diagnostic Assistance System
Challenge
In medical imaging diagnosis, ultrasound detection is especially crucial for tumor identification. However, accurately identifying and evaluating tumors through ultrasound is not an easy task for doctors. It requires a high level of concentration, careful observation, many years of experience, and continuous training.
Solution
In the field of medical diagnostic assistance, YUAN has showcased its professional expertise and profound application insights. Utilizing the features of VPP6N0-S NX, we have combined the low-latency characteristics of the 4K60 HDMI2.0 M.2 capture card, the high computational power of 70/100 TOPS, and the AI module specifically designed for medical purposes to create a dedicated AI-assisted system for medical diagnosis. This AI model has been trained on over 6,000 images annotated by medical experts, enabling it to effectively assist doctors in distinguishing between normal and abnormal tissues with an accuracy rate of up to 87%. This system from YUAN provides real-time image analysis results, offering a swift, accurate, and highly dependable diagnostic tool for the medical field.
System Architecture Diagram
Key Benefits
Real-time Tumor Recognition: Harnessing the capability of YUAN's exclusive medical model, the system can promptly identify and differentiate various types of benign and malignant tumors.
Accuracy: With the AI model, doctors can perform preliminary detection using ultrasound to quickly and precisely pinpoint potential issues.
Reduced Risks: This approach diminishes the need for contrast agents, thereby mitigating potential allergies and other risks for patients.
Early Intervention: Once the model identifies abnormalities, doctors can swiftly conduct additional examinations, ensuring timely detection and treatment, which significantly reduces the mortality rate of diseases.
Technological Advancement: The stellar performance of VPP6N0 NX-S 70/100 TOPs guarantees the AI model's efficient operation.
Product Suggestions
