In the medical field, timely and accurate diagnosis is crucial for effective treatment. Traditional X-Ray analysis relies heavily on the expertise of radiologists and doctors, which can be time-consuming and subject to human error. To address these challenges, we propose an AI-powered X-Ray machine that automates the task of analyzing X-Ray images in real-time. Leveraging the computational power of AMD PCs, our system can detect fractures, bone bends, and potentially diagnose conditions like breast cancer or brain tumors, significantly speeding up the diagnostic process and improving patient care.
Recently Few researcher have developed the system to detect the Breast Cancer using X-Ray
https://www.mdpi.com/2076-3417/12/7/3273
By collecting extensive datasets of X-Ray images for cases such as brain tumors, breast cancer, and bone fractures, and training the model using high-capability GPUs and NPUs like AMD Ryzen, we can revolutionize medical imaging. Integrating these advanced AI models with X-Ray machines will enable efficient, accurate, and real-time diagnosis, transforming healthcare.
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