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Siemens Healthineers CEM and biopsy features cleared by FDA

Interest in CEM has seen significant growth in recent years as more clinical evidence supporting its use has come to light. 

cancer chemotherapy survivor

A new role at the UC Davis Comprehensive Cancer Center is improving the diagnostic process for both patients and providers. 

Robert Harris, PhD, a machine learning engineer at Virtual Radiologic (vRad), outlined his team's work developing and evaluating a generative chest X-ray machine learning model for use within one of the nation's largest teleradiology practices.

While the technology remains investigational in many practices, researchers say it has the potential to improve diagnostic accuracy, streamline AI development and strengthen radiology quality assurance.

breast cancer mammography women's imaging

Radiologist Henry C. Lusane, MD, with Acumen Medical Imaging, interpreted the scans, reporting the mass as benign, a mistake later leading to a terminal cancer diagnosis. 

Cybersecurity lock

The Women’s Center for Radiology, which was acquired by Solis Mammography in January, hired a cybersecurity firm to help investigate the scope of the matter. 

The health network, which operates 37 hospitals in California, drastically reduced scheduling delays after integrating an FDA-cleared algorithm designed to speed up imaging acquisition times.  

Innovation at work

A referring physician orders an MRI of the lumbar spine and hits send. That order lands at three, sometimes four, outpatient imaging centers simultaneously. The center that contacts the patient first books the appointment. The rest miss out on the revenue.

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