After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key classification tasks. The VGG16 convolutional neural network (CNN) achieved high ...

An AI model with the potential to transform cervical spondylosis diagnosis by spotting subtle vertebral changes quickly and accurately.

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

When assisted by a new deep learning model, radiologists saw a marked improvement in how accurately they detected brain aneurysms from CT angiography imaging, according to a study published in JAMA ...

A University of Missouri researcher has created a computer program that can unravel the mysteries of how proteins work together - giving scientists valuable insights to better prevent, diagnose and ...

Advances in artificial intelligence (AI) deep learning, genomics, and computing hardware is accelerating life sciences research and discovery. In a new study published today in Nature Communications, ...

A year and a half later, the team has reported – again in Nature ("Targeting protein-ligand neosurfaces with a generalizable deep learning tool") – an exciting advancement of this technology. They ...

Rice panicle counting has historically relied on detection-, density-, or location-based methods. However, detection models struggle in crowded canopies, while density-based models are sensitive to ...

Researchers at King Abdullah University of Science and Technology (KAUST; Saudi Arabia) have announced the development of a new deep learning tool, deepBlastoid, to study models of human embryo ...