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 ...

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

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 ...

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 ...

Researchers are developing an AI and IoT system to modernize Indian agriculture. This "smart farming" technology uses soil ...

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

That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...

If you haven’t lived underneath a rock for the past decade or so, you will have seen a lot of arguing in the media by ...