August 7, 2018 — While heart failure is an uncommon complication of breast cancer treatment, the risk is higher in ...

The world market for machine learning in medical imaging is set for a period of robust growth and is forecast to top $2 billion by 2023, according to a new report from Signify Research. The artificial intelligence (AI) market comprises software for automated detection, quantification, decision support and diagnosis according to Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry.

The Board of Directors of the Radiological Society of North America (RSNA) announced that Gary D. Luker, M.D., will become editor of the new online journal, Radiology: Imaging Cancer. The journal will launch in 2019.

Researchers have discovered a new nuclear medicine test that could improve care of patients with type 1 diabetes. The new positron emission tomography (PET) imaging method could measure beta-cell mass, which would greatly enhance the ability to monitor and guide diabetes therapies. This study is reported in the featured article of the month in The Journal of Nuclear Medicine’s August issue.

Medical imaging has become the bellwether for the application of artificial intelligence (AI) technologies, especially deep learning techniques in the healthcare space, according to a new report from industry analysts Frost & Sullivan. The report, “Artificial Intelligence for Medical Image Analysis—Companies-to-Action, 2018,” indicates that more than 90 companies are at various stages of development and commercialization of AI-based solutions for the medical imaging industry.