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. 

Rich Whitney

Radiology Partners executives dish on details of blockbuster $885M deal with Mednax

Radiology Business recently sat down with three members of the El Segundo, California, company’s C-suite to explore the massive merger's intricacies.  

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Body composition from low-dose chest CT a ‘significant predictor’ of poor COVID-19 outcomes

That’s according to a new study out of the University Hospital of Cologne, Germany, highlighted in the European Journal of Radiology. 

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Artificial intelligence vendor Viz.ai scores Medicare coverage for stroke CT platform

The Centers for Medicare and Medicaid Services has agreed on a payment of up to $1,040 per use of the algorithm in patients with suspected LVO. 

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AI triage tool cuts radiologists’ mammography workload by more than 50%

In a small group of women with the highest algorithm prediction risk scores, the tool could have spotted 27% of ensuing cancers, experts reported recently.

Elon Musk’s Neuralink has healthcare AI on the brain

Musk has his eye on medical applications to get the fledgling company rolling—and he sees AI playing a major supporting role from its outset.

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Artificial intelligence bests radiologists at spotting breast cancer: ‘The time has come’

Swedish researchers test drove three commercially available AI algorithms and found wide variance, sharing their results in JAMA Oncology. 

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Neuroimaging experts are using AI to establish imaging biomarkers for brain disorders

Experts at Georgia State University are using thousands of datasets and various imaging modalities to investigate bipolar disorder, schizophrenia and depression.

AI–spectroscopy combo rats out fentanyl and its illicit kin

Researchers have developed an AI algorithm that can identify illegally cooked-up fentanyl, teaching itself to spot dangerous new impostors as it goes.