How the FDA assesses AI-based imaging algorithms | AI IDs brain aneurysms

The FDA is responsible for regulating AI solutions designed and developed to provide care for patients, a task that leads to certain unique challenges.

A new automated detection tool using deep learning can detect clinically significant brain aneurysms on CT angiography (CTA) examinations, according to a new study published in JAMA Network Open.

Researchers have found that a new class of radiotracer can be used to identify 28 different types of malignant tumors, sharing their findings in the Journal of Nuclear Medicine.

A jury has awarded a young patient $11.5 million in a medical malpractice lawsuit filed against a radiologist at Boston’s Newton-Wellesley Hospital. 

Half of all physicians in the United States experience burnout, and recent surveys have suggested that number could be even higher among women.

Historically, radiology has been unable to recruit women and underrepresented minorities (URMs) as well as other healthcare specialties. Why is this the case? How can that trend be reversed?

Cancer patients undergoing chemotherapy often share word of their adverse reactions to the drugs in online health forums. Researchers at Stanford have used natural language processing to mine these posts, accurately flagging detrimental side effects well before clinical journals advise caution.

Imaging Innovation Awards will recognize private radiology practices and/or hospital radiology departments that have combined creative thinking with coordinated teamwork to develop a notably original breakthrough in some particular aspect of medical imaging. Enter today!