Despite the impressive performance of current deep learning models in the field of medical imaging, transferring the lung segmentation task in X-ray images to clinical practice is still a pending task ...

We achieved a test accuracy of 92.2% for the task of classifying chest x-ray images (normal/pneumonia/COVID-19) on a carefully selected dataset using pure transformers. The results show the capability ...

Now, rising to the challenge, an Arizona State University team of researchers has built a powerful new AI tool, called Ark +, ...

Researchers at Osaka Metropolitan University have developed an AI model that can detect fatty liver disease from routine chest X-rays with over 80 % accuracy, offering a low-cost, widely accessible ...