A Nagoya University research group has developed an AI algorithm that accurately and quickly diagnoses idiopathic pulmonary fibrosis, a lung disease. The algorithm makes its diagnosis based only on information from non-invasive examinations, including lung images and medical information collected during daily medical care.

An international team of researchers has developed a method for altering one class of antibiotics, using microscopic organisms that produce these compounds naturally. The findings, published July 25 in Nature Chemistry, could lead to more efficient production of antibiotics that are effective against drug-resistant bacteria.

Source: From mid-June 2022, the department will begin distributing cancer screening packs to more than 8000 general practices across Australia. The packs will include: Three A3 posters, one for each national cancer screening program, with reminder messaging. We ask practices to place these in waiting rooms and other places visible to patients to prompt a...

Source: Several members of Congress are asking HHS and the FDA to allow hospitals to have more choice when it comes to ensuring their blood platelet donations are free of bacterial infection.

Source: May 2020, scientists were anxious for a better view of the ways human organs were being ravaged by COVID-19. They had been busy developing a technique which could make use of powerful x-rays.

Blockchain technology could have many exciting applications in radiology and also facilitate the development of artificial intelligence (AI) algorithms. But key hurdles remain in the way of adoption of the technology, said Dr. Woojin Kim, who recently spoke in a webinar held by the Society for Imaging Informatics in Medicine (SIIM). By Erik L. Ridley,...

The adoption of machine-learning techniques to aid in diagnosis should be done with radiologists’ guidance. Phil Shaffer | The Scientist Magazine®

The first wave of AI-driven job loss among doctors will be in the field of radiology and is poised to force a paradigm shift in medical imaging. Mutza Musa | The Scientist Magazine®