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Researchers at Wake Forest School of Medicine in Winston-Salem, North Carolina, believe they have taken an important first step in developing a brain-based test to diagnose autism, according to the results of an fMRI-based study published in Biological Psychology.

Daniel Picus, MD, was named the recipient of the William T. Thorwarth Jr, MD, Award on May 20, during the American College of Radiology’s Annual Meeting in Washington D.C.

An AI-optimized American College of Radiology Thyroid Imaging Reporting and Data System (TI-RADS) improved risk stratification of thyroid nodules and may be easier for readers to use, according to a new study published in Radiology.

The deep learning platform, tested on more than 6,000 cases from the National Lung Cancer Screening Trial and Northwestern University, performed similarly to six radiologists.

Raul Galvez, MD, is a pediatric radiologist at Banner Thunderbird Medical Center in Phoenix and has seen his fair share of out-of-the-ordinary x-rays while working at the level 1 trauma center.

A recent decline in myocardial perfusion imaging (MPI) utilization has been attributed to legislative efforts, decreasing reimbursement and consolidation, but is that truly the case?

A team of radiologists at the University of Washington School of Medicine in Seattle will utilize fMRI, along with formal evaluations, to study the effects of cannabis on infant brain development.

The method included three deep convolutional neural networks which outperformed five clinical radiologists, according to results of a study published in Radiology: Artificial Intelligence.

“The value of AI applications in medical care can only be confirmed when professional guidelines provide recommendations for their use in specific clinical settings and patient populations,” wrote Gerold Porenta, MD, PhD, in a recent commentary published in the Journal of Nuclear Medicine.

"...to our knowledge, no studies of nationally representative data have explored racial and ethnic differences in ED medical imaging while accounting for patient-level factors and facility-level differences in imaging use,” wrote authors of a recent JACR study.

French researchers used MRI to capture 3D images of babies as they made their way through the birth canal, offering insights they hope can indicate which may have trouble during labor.

The method spared nearly 90% of patients from unnecessary contrast and additional imaging sequences, reported authors of a May 16 study published in the Journal of the American College of Radiology.