How do radiology residents in the U.S. want to learn about AI?
January 31, 2023 -- Most radiology residents in the U.S. want education on artificial intelligence (AI) technology to be included in the residency curriculum and they want the training to be hands-on, according to research published January 27 in Academic Radiology. Read More
Is ChapGPT a double-edged sword?
January 27, 2023 -- The ChatGPT chatbot may have both good and bad consequences in radiology, with potential for improving the interpretability of computer-aided detection software but also for fabrication of scientific work, doctors in New York City suggest. Read More
Radiology trainees welcome more involvement with AI
January 24, 2023 -- Many radiology trainees in the U.K. are interested in working on projects, activities, and teaching related to artificial intelligence (AI), according to survey results published January 19 in Clinical Radiology. Read More
What's next in cancer imaging?
January 23, 2023 -- It's time for radiology to deliver a higher level of cancer imaging for oncologists, according to Bob Jacobus, CEO of software developer AI Metrics. In a new column, he discusses key challenges and potential solutions. Read More
Combined AI system on par with radiologists for detecting breast cancer
January 20, 2023 -- An artificial intelligence (AI) system that combines mammography and breast ultrasound data is comparable to radiologists for detecting breast cancer in women with dense breasts, according to a study published January 16 in Insights into Imaging. Read More
AI could help emergency physicians triage patients with chest pain
January 18, 2023 -- An artificial intelligence (AI) model could help emergency department doctors triage patients with symptoms of acute chest pain syndrome, according to a study published online January 17 in Radiology. Read More
AI model predicts cancer aggressiveness on PET
January 10, 2023 -- A machine-learning model based on PET imaging features shows promise for helping clinicians assess the aggressiveness of endometrial cancer prior to surgery, according to a study published online January 4 in Cancers. Read More
AI models use fetal ultrasound images for gestational age estimates
January 4, 2023 -- Artificial intelligence (AI)-based analysis of ultrasound images and videos can more accurately predict the gestational age of fetuses than conventional fetal biometry techniques, a study published January 4 in JAMA Network Open found. Read More
Deep learning helps CT better evaluate lung fibrosis
December 29, 2022 -- A deep-learning algorithm boosts CT imaging's performance when it comes to assessing patients with idiopathic pulmonary fibrosis, according to research presented at the RSNA meeting in Chicago. Read More
Model separates malignant from benign thyroid nodules on ultrasound
December 27, 2022 -- A deep-learning model developed by Chinese researchers can identify thyroid malignancies on ultrasound images, a study published December 21 in Computers in Biology and Medicine found. Read More
Special Feature
Potential for racial bias raises concerns for radiology AI
Potential for racial bias raises concerns for radiology AI

A preprint study that raised troublesome questions last year about potential bias in radiology artificial intelligence (AI) algorithms has now been formally published in the Lancet Digital Health with the same conclusions. Learn more