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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Multiple sclerosis patients strengthen brains playing video games

Earlier generations of young people were warned that playing video games would turn their brains to mush. New research suggests the exact opposite effect is possible.

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3D printing comes of age + more buzz for CAD

The challenge before radiology is clear: boost the value provided by the specialty (and don’t be shy about it). 3D printing offers just one such way of boosting value beyond interpretations.

The siren song of 3D printing: Is radiology feeling the love?

While it may seem like a match made in heaven, some within radiology have resisted hitching their wagons to the increasingly attractive prospect of 3D printing utilization. But the time has come for radiology to make a commitment and “pop the question” to the rapidly advancing healthcare tool.

Blueprint for ‘bioprinting’: The world inches closer to 3D-printed body parts

The future is (nearly) now when it comes to printing our own replacement body parts, according to research cited in a recent article published online by the Chicago Tribune. 

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Optimizing CAD to improve early detection in high-risk breast cancer patients

Using a two-stage classifier to differentiate between malignant or benign mass and non-mass lesions can improve the accuracy of computer-aided diagnosis (CAD) systems and help identify cancer earlier in high-risk patients, according to results of a study published in the March issue of the journal Radiology.

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Startup raises $2 million to develop AI for neuroimaging

The artificial-intelligence healthcare startup MedyMatch, recently in the news for hiring as its head former Philips Imaging Systems CEO Gene Saragnese, has raised $2 million in seed monies to give neurorads and ED docs “a second—and potentially better—pair of eyes” when diagnosing hemorrhagic strokes.

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Mummy coffins get CT scanned for construction insights

A clinical fellow in radiology at Cambridge has used CT to peer into the materials and designs behind several ancient Egyptian mummy coffins. 

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Jolly good imaging firepower to illuminate the intricacies of the brain

The second oldest university in the English-speaking world is getting ready to install two of the newest diagnostic imaging machines on the market. Its hope is to change the game in the study of the brain.

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.