Researchers led by Cedars-Sinai have developed and validated a new artificial intelligence (AI) method aimed at streamlining ...

A study published in ERJ Open Research describes how researchers used artificial intelligence (AI) to analyze patient urine ...

According to a study published in Radiology, radiologists and other medical professionals may rely too heavily on AI when ...

DS, a self-supervised learning framework that enhances hyperspectral imaging for food adulteration detection in imbalanced ...

Researchers at Karolinska Institutet have examined the ability of various AI models to predict the prognosis of ...

Smart Eye a world leader in AI-based driver monitoring and in-cabin sensing, today announced that Sheila, its groundbreaking, ...

The integration of machine learning into the GEOS-Chem model enhances aerosol simulations, providing critical insights for ...

In a study published in the KeAi journal Intelligent Surgery, Chinese researchers performed a remote robot-assisted ...

Liver disease is treatable when detected early, but it often remains unnoticed until advanced stages. A recent study has ...

The PNN and EPM-based diagnostic method improves turbofan engine fault detection, achieving over 90% accuracy and ensuring ...

A study published in Nature by researchers from UC San Francisco and the University of Michigan found that an AI-powered ...

Researchers at Carnegie Mellon University's Human-Computer Interaction Institute recently published a study introducing ...