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. 

3D printed 'bionic skin' could aid in health monitoring

A revolutionary process for 3D printing stretchable electronic sensory devices that could be used to produce real human skin has recently been developed by researchers at the University of Minnesota.

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AI will change radiology—but it won’t replace the radiologist

Decreased costs of computing power and virtually infinite cloud storage capacity have created a fertile environment for artificial intelligence (AI) to disrupt industries across the globe. Computers won’t replace radiologists in the next 10, 20 or 30 years, but I do believe increasingly large parts of the job will be automated—and it may be up to radiologists to carve out space for themselves.

3D modeling back in the spotlight with conjoined twins case

In 2015 a 13-specialty team at Texas Children’s Hospital used 3D modeling based on CT images to plan surgery on, and then successfully separate, conjoined twins. This week Newsweek revisited the case, focusing on the multidisciplinary teamwork as well as the 3D technology. 

Could AI provide better cervical cancer screening than traditional methods?

Researchers at Lehigh University’s Image Data Emulation & Analysis Laboratory spent 10 years developing an artificial intelligence (AI) screening tool for cervical cancer.

Researchers shed literal light on fine-structure imaging

Some of America’s and Germany’s best and—excuse the pun—brightest minds have come together to develop a new class of optical-imaging probe. Its injectable nanoparticles emit short-wave infrared (SWIR) light and may be useful for imaging fine anatomic structures like blood-vessel networks. 

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Puberty changes the brain in sex-specific ways

New neuroimaging-based research at the University of Southern California has shown how, over time, the developing pubescent brain changes in distinct ways between boys and girls. 

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Virtual reality: Coming to an imaging provider near you?

Blu-Ray, 3D TVs and now virtual reality—three technologies that were each hailed at one point as the next big thing in consumer entertainment. One became ubiquitous, one all but disappeared and the jury’s still out on whether or not virtual reality (VR) is here to stay. 

Trump's cuts to NIH face opposition in Congress

The public’s reaction to Presidents Trump’s proposed budget has been incendiary—but for good reason: Federal science programs such as the Environmental Protection Agency, Department of Energy Office of Science and the National Institutes of Health (NIH) all would see cuts of 18 percent or more. However, lawmakers on both sides of the aisle are voicing opposition. 

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.