Nvidia has released a new series of products aimed to accelerate the research and development of artificial intelligence (AI), with one focused on medical imaging, according to a recent article by Forbes.

New artificial intelligence research from Google, presented at MIT Technology Review's EmTech Digital 2018 conference in San Francisco, may point to reducing the number of radiologist-annotated images required to train a deep learning algorithm for medical imaging applications.

A team of physicists in China has used ghost imaging to make detailed x-ray images they claim has lowered the radiation dose by a “million times" compared to previous attempts using the technique, Science Magazine reports.

A group of U.S. researchers created a natural language processing (NLP) system which outperformed traditional rule-based methods in identifying lumbar spine findings, according to a study published online in Academic Radiology.

Jensen Huang, CEO of Nvidia, a California-based technology company, recently revealed plans to construct a medical imaging supercomputer affectionately named Clara.

As deep learning in medical imaging continues to advance, two leading experts argue in an editorial in the Harvard Business Review that it will only result in positive impacts on the field—rather than replace imaging professionals with computers.

Plano, Texas – March 26, 2018 – NTT DATA Services, a recognized leader in global technology services, today announced a partnership with DataFirst, Inc. to deliver clinical artificial intelligence (AI) that will help healthcare organizations improve quality and decrease the cost of patient care.

A recent study published in Radiology has demonstrated that deep-learning bone age assessment models analyzing hand radiographs produced results as accurate as a radiologist.