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What are the best adaptive strategies for mitigating the anxiety of unknowns in one’s work and life?

Noting significant variation with facilities for achieving passing criteria for mammography positioning, researchers found that structured interventions, ranging from weekly auditing of images taken by technologists to mechanisms for feedback from radiologists to technologists, led to significant improvements in a multicenter study.

Catch up on the top radiology content of the past week.

Catch up on the most-well viewed radiology content in June 2024.

While radiologists interpreted approximately 99 percent of all non-cardiac CT, MRI and nuclear medicine studies in hospital and emergency department settings for Medicare beneficiaries, new research shows significantly less radiologist review of cardiac imaging and office-based imaging.

Out of 315 patients identified by artificial intelligence (AI) as being at high risk for osteoporosis, subsequent screening with dual-energy X-ray absorptiometry (DXA) in a randomized controlled trial revealed new-onset osteoporosis in 237 patients.

Using a reduced leadset and deep neural network algorithms trained on more than 175 million electrocardiograms, the KAI 12L technology reportedly detects up to 35 cardiac determinations, including acute myocardial infarction.

For patients with oligorecurrent prostate cancer, the use of PSMA PET/CT guidance for metastasis-directed therapy (MDT) provided over 19 months more median progression-free survival than choline PET/CT guidance, according to newly published research.

Clarius OB AI reportedly provides estimates of fetal age, weight and growth intervals based on automated fetal biometry measurements available through handheld ultrasound.

Catch up on the top AI-related news and research in radiology over the past month.

For patients with mild Parkinson’s disease, new research suggests that indexes of disease pathology with structural and functional connectivity of brain regions can help predict progression of gray matter atrophy at two- and three-year follow-up brain MRI exams.

Proprietary technologies with the FCT iStream computed tomography system reportedly facilitate enhanced workflow efficiency and significantly reduced radiation dosing.

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Noting an average processing time of 24 seconds for deep learning detection of acute ischemic stroke on brain MRI, the authors of a new study said deep learning assessment of DWI and FLAIR sequences had equivalent sensitivity and AUROC to T2WI MRI.