Deep-learning algorithms significantly enhance clinicians’ ability to correctly identify paediatric elbow fractures, a notoriously challenging diagnosis.

A new study using advanced deep-learning brain age estimation shows that World Trade Center responders with PTSD exhibit signs of accelerated brain aging.

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 ...

A recent study reveals that integrating Artificial Intelligence (AI) into colon cancer diagnosis over the past five years has ...

Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...

Researchers from the Icahn School of Medicine at Mount Sinai have found that post-traumatic stress disorder (PTSD) may be linked to accelerated brain aging among World Trade Center (WTC) responders ...

Johns Hopkins University School of Medicine researchers unveil a new artificial intelligence (AI) deep learning digital ...

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 ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...