The American College of Radiology Data Science Institute launched a new website to promote its efforts to advance, validate and implement artificial intelligence (AI) in radiology.

Doctors can effectively detect liver cancer with ultrasound and tiny microbubbles, according to a study announced at the International Contrast Ultrasound Society (ICUS) 32nd Annual Conference, Oct. 5-6 in Chicago. This technique allows detection without radiation, expensive magnetic resonance imaging (MRI) equipment or biopsies.

Biodex Medical Systems announced the full release of the Atomlab Dose Calibrator and Wipe Test Counter to the market following the initial unveiling at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting in June.

Atomlab 500 Dose Calibrator & Wipe Test Counter

Sonoscanner recently announced it received U.S. Food and Drug Administration (FDA) approval to market its new multipurpose ultrasound device, the U-lite EXP.

Significant differences were found among women receiving mammography at a cancer center versus those visiting a mobile mammography van, according to an article published online ahead of print in the American Journal of Roentgenology (AJR). The print version is scheduled to be published in the December 2017 issue of AJR.

October 18, 2017 — HealthMyne announced the release of QIDS (Quantitative Imaging Decision Support) 3.0 with the Incidental Findings Workflow module, along with many other new features and enhancements. Incidental lesions are discovered in up to 30 percent of imaging studies, yet follow-up is generally poor. It is well known that the earlier cancer is detected, the higher the probability of long-term survival. Additionally, costs for cancer treatment increase dramatically when started in later stages of the disease.

October 18, 2017 — Magnetic resonance imaging (MRI)-based measurements of the functional connections in the brain can help predict long-term recovery in patients who suffer neurological disability after cardiac arrest, according to a clinical study appearing online in the journal Radiology.

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