Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

AI aids coma prognostics, potentially averting withdrawal of care

Deep learning has bested experienced neurosurgeons at predicting poor outcomes, including mortality, among patients admitted comatose with severe traumatic brain injuries.

The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

VIDEO: Imaging societies ask Congress to repeal appropriate use decision support mandate

Randall Thompson, MD, immediate past president of the American Society of Nuclear Cardiology (ASNC), explains the current ASNC lobbying efforts.

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Radiology departments are adapting to offer inclusive environments for transgender individuals

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

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Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

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Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

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Lack of diverse datasets in AI research puts patients at risk, experts suggest

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

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'Probably benign' BI-RADS 3 category has high utilization, low cancer yield, study finds

Such diagnoses were higher among community practices compared to academic institutions, with lack of subspecialty training a likely underlying factor, experts wrote in JACR

Walmart rolling out ‘state-of-the-art’ health centers with imaging, Epic EHR integration

Along with X-rays, the new outposts will also offer primary care, lab work, EKGs, behavioral health, dental, optical, and hearing services, all for a flat fee, the retailer reported.