The ability to predict outcomes and trends can mean the difference between thriving and merely surviving. Enter artificial ...

Radiology has become a focal point of this conversation, driving speculation over whether AI will eventually replace ...

U-NET, a convolutional neural network architecture, demonstrates exceptional performance in brain tumour segmentation, ...

The inability to reliably extract data from PDFs affects numerous sectors but hits hardest in areas that rely heavily on ...

Traditional MRI analysis requires significant time and expertise, often leading to diagnosis and treatment planning delays.

Advancements in technology have transformed various facets of healthcare, and the field of reproductive medicine is no ...

Spinal cord injury (SCI) resulting in severe paralysis is known to deteriorate the quality of life of humans. However, the ...

The Internet of Medical Things (IoMT) is an interconnected network of medical devices, sensors, and cloud platforms that ...

Many existing methods for exploring the link between neural activity and behavior rely on the analysis of static images and brain ... based on recurrent neural networks (RNNs) that addresses ...

"I'm not aware of any measure you can make of the human brain where the male and female distributions don't overlap," ...

A multidisciplinary team of researchers at Georgia Tech has discovered how lateral inhibition helps our brains process visual ...

In the modern era, artificial intelligence (AI) has rapidly evolved, giving rise to highly efficient and scalable architectures. Vasudev Daruvuri, an expert in AI systems, examines one such innovation ...