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Catch up on the most-well viewed radiology content in July 2026.

Utilization of the ThinkSono Guidance software app by non-ultrasound trained clinicians on point-of-care ultrasound devices reportedly facilitated diagnostic image quality in 87.1 percent of cases, according to recent research.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in July 2026.

Recently presented research with the AI-powered CaRi-Heart software at the Society of Cardiovascular Computed Tomography (SCCT) conference found that assessments of advanced coronary inflammation with the software were linked to significantly higher cardiovascular mortality risks.

In comparison to findings from a similar study in 2014, the national volume computed tomography (CT) dose index (CTDLvol) declined by 9.3 percent, according to newly published research involving 5 million CT exams for over 2.8 million adults in 2025.

In an external test set from a recent study, a combined radiomic/deep learning model for intratumoral computed tomography (CT) threshold segmentation offered an 82.3 percent AUC and 95.4 percent sensitivity for predicting visceral pleural invasion in patients with lung adenocarcinoma < 30 mm.

For biopsy-naïve patients who had radical prostatectomy for prostate cancer, new research suggests that biparametric MRI is comparable to multiparametric MRI for detecting extraprostatic extension.

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

In the face of consistent shortcomings from referring clinicians, the consistency of our resolve and perspective may be our best recourse.

In a recent interview, Kenneth Chan, MBBS, discussed new research, presented at the recent Society of Cardiovascular Computed Tomography (SCCT) conference, that showed the impact of coronary inflammation in identifying elevated cardiovascular risk in patients with zero or low coronary artery calcium (CAC) scores.

Advanced imaging with photon-counting CT and AI detection of subtle calcification may lead to a reevaluation of the power of zero with coronary artery calcium (CAC) scoring.

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.