Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Deep learning with nuke med quantifies prostate gland uptake, predicts cancer survival

European researchers have trained and validated an algorithm for quantifying prostate measurements on PET/CT scans.

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RSNA 2019: Disruption wrought by AI to bring opportunity, danger to radiology

If practices make the right moves around technology, the business outcome will help lift the specialty’s value and expand its markets.

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Siemens Healthineers scores FDA approval for intelligent new CT scanner

The SOMATOM X.cite premium single-source computed tomography scanner guides radiologists through each step of the exam process. 

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ACR launches one-stop shop to find FDA-cleared AI algorithms

The resource currently includes more than two dozen applications, with uses varying from triaging head CT imaging patients to analyzing wrist radiographs. 

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In concert: Combining multiple machine learning models in radiology boosts prediction performance

Researchers with several academic institutions recently made that discovery using dozens of submissions from the RSNA Pediatric Bone Age Machine Learning Challenge. 

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In radiologist-rich US, AI’s usefulness as triage tool would be challenging, minimal, expert argues

AI triage could prove to be pivotal elsewhere, however, by cutting the time radiologists spend analyzing cases and then prioritizing those that are most urgent, one expert noted.

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Two companies earn FDA approval for AI-powered tools to help imaging professionals

Those include an AI offering from Oxford, England-based Ultromics, which automates cardiac analysis to help with early detection of cardiovascular disease.

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Researchers worry that AI could be scaring students away from radiology

That’s according to a new survey of healthcare stakeholders, highlighted in November’s European Journal of Radiology. 

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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.

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Global shortage of nuclear imaging isotopes may be over

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CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.