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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MRI shows summer reading physically increases children’s brain power

Harvard and MIT researchers have found that the more reading schoolkids do over the summer, the more their brains develop—and those who struggle with reading and come from low-income households stand to make the most impressive gains.

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AI-powered microscope has no lens yet ‘sees’ nanoparticles for pathologists

Artificial intelligence is driving change into pathology as well as radiology. In Canada, for example, researchers have developed a lens-less microscope that uses algorithms based on mathematical models of light to produce large-scale slide images in 3D.

SNMMI partnering with NDSC to disseminate appropriate-use criteria

Clinicians referring patients for imaging with nuclear and molecular modalities will soon be able to do so with ready access to utilization assistance that’s based on appropriate-use criteria developed by the Society of Nuclear Medicine and Molecular Imaging (SNMMI).

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MRI as accurate as CT for Crohn’s disease detection, management

Both MRI and CT are highly accurate when it comes to detecting Crohn’s disease in the small intestine, and MRI can be the go-to modality when radiation exposure is an issue—as can be the case due to the repetitive imaging that’s often indicated for managing this chronic inflammatory bowel disease.

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Misidentified sniffs may point to early-stage Alzheimer’s

Mayo Clinic researchers have found a correlation between neuroimaging biomarkers of Alzheimer’s disease and results from a literal smell test: If at-risk older folks are losing their sense of smell, they’re more likely to be developing the disease than their well-smelling peers. 

Tiny gamma camera quickly captures radiotracers in hi-rez 3D

Japanese scientists have developed a gamma-ray detector small enough to hold with one hand yet powerful enough to render high-resolution 3D molecular imaging of anatomic structures in mice.

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Smokers’ brains show cognitive avoidance toward visual quitting aids

A small but fascinating functional MRI study has shown how smokers may stubbornly harden their minds against the psychological quitting-assistance technique known as aversive conditioning. 

Ultrasound-emitting light may power real-time, whole-body imaging

Researchers at Duke and Caltech have combined photoacoustic imaging with ultrasound to real-time image multiple anatomic activities in mice. They’re calling their innovation SIP-PACT, for single-impulse photoacoustic computed tomography, and they have whole-body imaging of humans in mind. 

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.