In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

Brazilian researchers have developed a technique that estimates the force exerted on each grain of sand in a dune from images ...

ARUP Laboratories today announced the publication of an article in the Journal of Clinical Microbiology describing the company's validation of a deep convolutional neural network (CNN) to detect ...

Traditional medical imaging follows a linear workflow: capture → transmit → store → analyze → report. This often involves large imaging files (e.g., DICOM for CT or MRI scans), reliance on PACS ...

Learn how ARUP's AI algorithm improves diagnostic accuracy for detecting intestinal parasites, enhancing treatment outcomes ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

This study introduces ByteTrack, an AI system that analyzes bite behavior in children, offering new strategies for obesity ...

Artificial intelligence is rapidly becoming one of the most lucrative and sought-after fields. The ongoing digital ...

Artificial intelligence is one of the fastest-growing and highest-paying fields today. The continued digitization of ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...