Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

money court scale of justice ruling legal settlement

Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

RSNA attendees through bore of the new release Philips CT 5300 scanner at RSNA 2024. Three new CT systems were released at RSNA that included numerous AI enhancements. Photo by Dave Fornell. #RSNA #RSNA24 #RSNA2024

Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

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Routine abdominal CTs offer insight into cardiovascular risk

During this year's RSNA meeting, providers were especially interested in how AI applications could enhance opportunistic screening capabilities.

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Screening efforts have helped avert millions of cancer-related deaths in recent decades

In conjunction with prevention efforts, the introduction of screening examinations has resulted in a reduction of nearly 6 million cancer-related deaths since 1975.

New scoring system accurately predicts coronary risk in women

The system combines findings from SPECT myocardial perfusion imaging with lifestyle and clinical factors to predict risk of major cardiovascular events.

mammography mammogram breast cancer

AI prevents mammography positioning errors before exposure

And it can spot positioning errors in less than two seconds, new research suggests.

mergers and acquisitions M&A puzzle

GE HealthCare acquires full stake in radiopharma firm that generated $183M last year

Tokyo-based Nihon Medi-Physics' portfolio includes nuclear imaging agents delivered across oncology, neurology and cardiology. 

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How does breast density affect AI accuracy?

AI has shown great promise for improving early detection of breast cancer, but many algorithms are hindered by a lack of training on diverse datasets.