Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …

The rise of non‐invasive, rapid, and widely accessible quantitative high‐resolution imaging
methods, such as modern retinal photography and optical coherence tomography (OCT) …

Lung diseases are the third-leading cause of mortality in the world. Due to compromised
lung function, respiratory difficulties, and physiological complications, lung disease brought …

In addition to the traditional clinical risk factors, an increasing amount of imaging biomarkers
have shown value for cardiovascular risk prediction. Clinical and imaging data are captured …

Recently, significant efforts have been made to create Health Digital Twins (HDTs), Digital
Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

Deep convolutional neural networks for multiple histologic types of ovarian tumors
classification in ultrasound images - PMC Back to Top Skip to main content NIH NLM Logo …

Purpose To create and evaluate the accuracy of an artificial intelligence platform capable of
using only retinal fundus images to predict both an individual's overall 10 year …

Recently, significant efforts have been made to create Health Digital Twins (HDTs), digital
twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

La plupart des maladies coronariennes sont liées à la présence d'une sténose, qui entrave
l'écoulement coronaire. Le diagnostic repose généralement sur la caractérisation de cette …

Since its inception, retinal imaging has been vital in documenting and understanding
macular diseases. The early thinking was to document retinal pathology as it became …