Researchers have identified a new method for analyzing chest CT scans that may help physicians better understand the different forms of sarcoidosis, a ...

Abstract: Early detection of eye diseases such as diabetic retinopathy, glaucoma, and cataracts is crucial in preventing severe vision impairment and blindness. This study explores the application of ...

It’s hard to imagine a more devastating diagnosis than blindness, but that is a danger for the 37 million Americans who have diabetes and are at risk for developing diabetic retinopathy (DR), a ...

This project is an AI-powered web application designed to identify and classify diabetic eye diseases using deep learning techniques. The system leverages state-of-the-art convolutional neural ...

The saliva circulating in your mouth contains troves of microbial information about the rest of your body and is easier to collect than blood samples. Today, a few drops of spit can help detect ...

Retinal imaging during ROP screening can predict bronchopulmonary dysplasia and pulmonary hypertension in preterm infants, enhancing early diagnosis and reducing invasive testing. A multimodal AI ...

As the use of artificial intelligence across medicine increases nationwide, The Daily Pennsylvanian spoke to professors, doctors, and researchers at the Perelman School of Medicine about how they are ...

Bill Whitaker is an award-winning journalist and 60 Minutes correspondent who has covered major news stories, domestically and across the globe, for more than four decades with CBS News. America's ...

Mediscan is a lightweight Flask web application and training pipeline for automated detection of common retinal/eye conditions from fundus or slit-lamp images using convolutional neural networks (CNNs ...

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...