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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Imaging biomarkers of impairing brain injuries identified in athletes

Combining structural MRI, diffusion-weighted MRI and multivariate analysis, researchers at Cleveland Clinic’s Lou Ruvo Center for Brain Health in Las Vegas have identified seven biomarkers of early brain damage related to cognitive decline in athletes who’ve taken a lot of blows to the head. 

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Fast, gadolinium-free whole-body cancer imaging proves feasible for young patients

Stanford researchers have developed a PET/MRI system for whole-body staging of solid tumors in young people that uses an iron supplement rather than a gadolinium-based MRI contrast agent and yields accurate results in less than an hour.

Coin-sized device turns MRI scanners into multitasking monitors

Biomedical engineers at Purdue University have developed a tiny “self-learning” device that sits inside MRI scanners, monitoring patients’ biological signals and adding context to their MR images.

3D printing turns fetal ultrasounds into take-home statues

Parents have been enjoying printouts of baby’s first picture in the form of fetal ultrasound images for generations. Today’s moms and dads have another option: ultrasound-image statues.

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Yoga-trained brains of older women appear stronger on MRI

Practicing yoga builds cortical thickness in the prefrontal brain, possibly helping practitioners stay cognitively sharp in their later years.

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Functional MRI shows generosity sparking happiness

Researchers have found a link in the brain between giving and contentment, observing an increase in neural activity when participants were deciding to treat someone to something nice and feeling good about it.

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Multimodal MRI of the brain’s visual system can catch Parkinson’s early on

Early-stage Parkinson’s disease shows up on MRI in parts of the brain connected to the eyes, which may help clinicians confirm the diagnosis, follow the disease’s progression and monitor the patient’s response to drug treatments, according to a small Italian study published online July 11 in RSNA’s Radiology.

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As a metastasis finder, whole-body MRI wins some, loses some

Whole-body diffusion-weighted MRI (DWI) very nearly matches conventional imaging when it comes to finding metastases in the liver and bones of cancer patients. That’s the good news for whole-body DWI.

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.