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The HOPPR EF Chest CT Narrative Model reportedly provides narrative language describing pertinent findings across pulmonary, upper abdominal, cardiac, mediastinal and soft tissue regions with processing of 3D chest CT volumes.

A model combining MRI and ultrasound findings yielded a 93 percent AUC for predicting microvascular invasion in hepatocellular carcinoma.

In a recent interview, Vivek Singh, MD, discussed the practical realities of integrating AI into neuroradiology workflows, addressing challenges and concerns with implementation and potential automation bias, and emphasizing the importance of appropriate governance with AI tools and measurable outcomes in stroke imaging.

The updated Sonosite iLOOK ultrasound reportedly offers a variety of features designed to streamline the use of point-of-care ultrasound for vascular access procedures.

General radiologist assessment of mammograms with adjunctive AI led to a significant increase in cancer detection rate akin to that of breast imaging specialists, according to new research.

In a comparative study involving 51 women who had systemic treatment for metastatic breast cancer, researchers found that all FDG-PET scans identified measurable target lesions according to PERCIST criteria in comparison to 35 percent of CT scans as per RECIST 1.1 criteria.

Can the newly launched MIM Anyware platform bolster imaging access and multidisciplinary collaboration?

This veteran teleradiologist examines who thrives working from home in radiology and who doesn't, based on 15 years of WFH experience.

Catch up on the latest imaging research from the recent Society of Cardiovascular Computed Tomography (SCCT) conference.

In an address at the recent SNMMI conference, neuroradiologist Tammie Benzinger, MD, PhD, discussed key studies in the evolution of amyloid and tau PET, and their continued emergence in detection, staging and monitoring of people with dementia.

In the age of advanced CCTA imaging, a one-size-fits-all approach to image acquisition is a disservice to patients.

In a recent interview, Ron Blankstein, MD, discussed new research presented at the Society of Cardiovascular Computed Tomography (SCCT) conference, including a study examining the impact of notification of AI detection of coronary plaque on physicians prescribing lipid-lowering therapy.

In cases involving false negative suggestions from adjunctive AI for screening mammogram review, researchers found that unassisted radiologists had a 32 percent higher sensitivity rate than those who utilized AI.