In a study of over 1,200 men with over 3,200 prostatic lesions, an explainable artificial intelligence (AI) model demonstrated a sensitivity rate of 93 percent for detecting clinically significant prostate cancer.

The artificial intelligence (AI) triage and notification indications include acute subdural/epidural hematoma and acute subarachnoid hemorrhage for head computed tomography (CT) imaging.

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The BD Prevue™ II Peripheral Vascular Access System reportedly offers real-time needle depth markers that may reduce multiple needlestick attempts and allow easier placement of intravenous (IV) access in high-risk patients.

New prospective research demonstrated that the combination of ultra-low-dose (ULD) computed tomography (CT) and an artificial intelligence (AI)-based denoising method offered a greater than 95 percent sensitivity rate for differentiating negative and actionable Lung-RADS category findings with significantly reduced radiation dosing.

A recent prospective study found that progression-free survival (PFS) and disease-specific survival (DSS) were significantly associated with breast cancer tumor treatment response on 2-(18F)FDG-PET/CT imaging in comparison to contrast-enhanced computed tomography (CT), which showed no evidence of a significant association with tumor response.

A continued emphasis on sharpening skills, robust networking and living within one’s means are keys to navigating the ups and downs of the radiology job market.

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A recent study showed that artificial intelligence (AI)-based worklist reprioritization led to a mean reduction of 12.3 minutes in radiology report turnaround time for positive computed tomography pulmonary angiography (CTPA) exams that were positive for pulmonary embolism.

Emerging research suggests that 29 percent of patients with index breast magnetic resonance imaging (MRI) exams, 45 percent of Asian women and 30 percent of women living in the highest disadvantaged neighborhoods did not have follow-up imaging after a BI-RADS 3 diagnosis.

Based on a review of 3,495 echocardiographic studies to evaluate left ventricular ejection fraction (LVEF), researchers found that cardiologists changed initial artificial intelligence (AI) assessment 16.8 percent of the time and initial sonographer assessment 27.2 percent of the time.

Researchers found that ChatGPT offered appropriate responses to 22 out of 25 patient-oriented questions on mammography screening, dense breasts, BI-RADS scoring and other topics related to breast cancer screening and prevention.

Offering built-in safety features and independent verification of magnetic resonance imaging (MRI) compatibility with cardiac devices such as pacemakers or implantable cardioverter defibrillator systems, the MRI Care Pathway app may enhance the efficiency of radiology workflows for MRI scans in patients with these devices.

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The artificial intelligence (AI) powered Auto B-line Counter, which reportedly produces a B-line count from a six-second ultrasound clip, may facilitate more expedient and consistent assessment of abnormal lung function.

Emerging research shows the adjunctive use of automated breast ultrasound with mammography has similar sensitivity for breast cancer detection as adjunctive handheld ultrasound but may offer reduced false-positive rates in women with dense breasts.

A new study shows that active surveillance and watchful waiting are being utilized in nearly 60 percent of patients with low-risk prostate cancer in the United States.

Is there a certain line of self-preservation in radiology reporting for findings and impressions?

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Researchers found that higher shift volumes, longer imaging interpretation times and weekend work were significantly associated with increased errors in neuroradiology.