Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

Deep dish pizza is synonymous with Chicago. A bread-like base topped with layers of mozzarella and chunky tomato sauce is the perfect fortification, some might argue, against the notoriously long and ...

A research team has developed an AI-based approach to streamline the evaluation of maize haploid fertility restoration, a key bottleneck in double haploid (DH) breeding.

Purpose To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD). Methods 300 optical coherence ...

SYDNEY, Nov. 11, 2025 /PRNewswire/ -- Studiosity, the global edtech leader in pedagogically sound AI-for-Learning, announced the acquisition of Norvalid, a world leader in student self-validation of ...

aCardiovascular Imaging Research Center (CIRC), Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA bPulmonary and Critical Care Division, Massachusetts ...

Purpose: Accurate differentiation between glioma recurrence and radiation necrosis is critical for the management of patients suspected of glioma recurrence following radiation therapy. This study ...

Objective: To improve and validate a convolutional neural network (CNN)-based model for the automated scoring of nail psoriasis severity using the modified Nail Psoriasis Severity Index (mNAPSI) with ...

Your best friend just had a terrible day. She vents to you about feeling overwhelmed at work, an argument with her partner, and how she can't seem to catch a break. You want to help, so you ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--AttackIQ ®, the leading vendor of Adversarial Exposure Validation (AEV) solutions and founding research partner of the MITRE Center for Threat-Informed Defense ...

ABSTRACT: Abstracting eye models from MRI images is critical in advancing medical imaging, particularly for clinical diagnostics. Current methods often struggle with accuracy and efficiency, ...