Scientists at the USC Leonard Davis School of Gerontology have discovered a key connection between high levels of iron in the ...

In the testing dataset, fundus photographs were acquired using an ordinary fundus camera and a smartphone. A deep learning algorithm was developed to diagnose glaucoma using a training dataset. The ...

Introduction: Besides primary Sjögren’s syndrome (pSS) is generally assessed through ... factors in determining both objective and subjective disease burden using machine learning (ML) models. Methods ...

Abstract: The rapid proliferation of computing domains relying on Internet of Things (IoT) devices has created a pressing need for efficient and accurate deep-learning (DL ... To address this ...

Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) facilitates timely intervention. We aimed to develop a predictor of post-LT ARDS using machine learning ...

are promising approaches to improve ECG detection of OMI. Methods: While the ResNet architecture has been adapted for use with ECG recordings, it is not ideally suited to capture informative temporal ...