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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How a miniaturized pipe organ could improve ultrasound images

A miniaturized version of a musical instrument developed by researchers at the University of Strathclyde in Glasgow, Scotland, can’t produce actual music, but it may improve the quality of medical images, according to research published in the October issue of IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

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5 researchers awarded 2018 Canon Medical Systems, RSNA grants for imaging, AI projects

The one-year grants—ranging from $3,000 to $40,000—were made possible by Canon Medical Systems USA’s support of the Radiological Society of North America (RSNA) Research & Education R&E Foundation, according to a Canon Medical Systems press release published Nov. 12.

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AI software for detecting brain bleeds receives FDA approval

The FDA recently administered 510(k) clearance to software developed by MaxQ AI that uses AI to detect brain bleeds on CT images, according to a report published Nov. 8 by AI in Healthcare.

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Australian university hopes digital pathology method can address pathologist shortage

A team at the University of Queensland in Australia is working on a digital pathology slide technique that would speed up patient diagnosis and help address the country’s pathologist shortage, according to a university release.

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Beatboxers, real-time MRI make a rhythmic duo

Real-time MRI footage of beat boxers was recently presented at a joint meeting of the Acoustical Society of America and the Canadian Acoustical Association in Victoria, British Columbia, Canada on Nov. 7, according to a recent report by Popular Science.

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Deep learning improves detection of polyps during colonoscopy

Researchers created and validated a deep learning algorithm to improve the detection of polyps during colonoscopy, according to a study published in the latest issue of Nature Biomedical Engineering.

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AI performs poorly when tested on data from multiple health systems

Researchers at the Icahn School of Medicine at Mount Sinai in New York City found convolutional neural networks (CNNs) trained to detect pneumonia on chest x-rays performed poorly when tested on data from outside health systems, according to a study published online Nov. 6 in PLOS Medicine.

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Imperial College London to open new medical imaging, AI research center

Imperial College London announced its plans to open the London Medical Imaging and Artificial Intelligence Center for Value-Based Healthcare thanks to £10 million ($13 million) in recently awarded funds, according to a university news release published Nov. 6.

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.