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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CAD system shows potential in detecting subtle lung cancers

A commercially available computer-aided diagnosis (CAD) system has shown promise in its ability to mark hard-to-detect lung nodules in standard and portable chest X-rays, according to study results published in the April issue of Academic Radiology.

Startup to combine handheld tech and A.I. to improve imaging

A three-year-old startup, Butterfly Network, recently announced $100 million in funding to create a new handheld device that the company says will make MRI and ultrasounds cheaper and more efficient.

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CT reveals Buddhist monk mummy inside 900-year-old statue

A Chinese statue of the Buddha, exhibited at the Drents Museum in The Netherlands, had a secret hidden inside—the mummified remains of a Buddhist monk who died around 1100 AD.

Low-dose CT colonography combined with MBIR cuts radiation exposure by nearly 50 percent

Model-based iterative reconstruction (MBIR) technology used in conjunction with reduced-dose CT colonography improves image noise and maintains image quality while significantly reducing patient exposure to radiation, according to a study published in the February issue of Academic Radiology.

CT colonography a suitable alternative to colonoscopy for ulcerative colitis patients

CT colonography is effective at assessing patients with ulcerative colitis who are in remission, according to a study published in the March issue of Academic Radiology.

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In CAD we trust

Computer-aided diagnosis (CADx) and computer-aided detection (CADe) hold much promise for radiology. Effective use, though, remains a matter of trust.

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Automatic registration produces clearer 3D liver images

Computer-aided image registration is an effective means of reducing interphasic hepatic image displacement and aids in the detection of lesions, according to a study published in the February edition of the American Journal of Roentgenology.

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CAD costs, use on the rise

As the prevalence of computer-assisted detection (CAD) use rises to nearly 80 percent of Medicare mammography exams, so do the associated costs, reaching nearly $300 million in Medicare costs for an eight year period between 2001 and 2009, according to a study published in the December issue of the JAMA Internal Medicine.

Around the web

RBMA President Peter Moffatt discusses some of the biggest obstacles facing the specialty in the new year. 

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.