Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet connectivity, and cloud computing resources. Organizations should upgrade ...

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...

Researchers from the University of Oxford have benchmarked artificial intelligence (AI) tools capable of automatically removing personal information from patient electronic health records (EHRs) in a ...

Data science methods can help overcome challenges in measuring and analyzing social determinants of health (SDoH), according to a paper published in The Lancet Digital Health, helping mitigate the ...