A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

In a recent study published in the journal Science Advances, researchers described a deep learning (DL)-based reconstruction framework to accelerate brain magnetic resonance imaging (MRI) at 0.055 ...

A research team from Tohoku University Graduate School of Medicine undertook a detailed examination of the medical validity of deep learning models using post-mortem imaging for diagnosing drowning.

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

Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...

Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...