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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fMRI shows how abbreviated sleep bothers the brain, messes with mood

The National Sleep Foundation recommends seven to nine hours of shuteye per night for adults between 26 and 64. Using functional MRI, researchers at Japan’s National Institute of Mental Health in Tokyo have shown why getting less often leads to bad moods and poor emotional health.

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Microbubble ultrasound, perfusion software combine to check ablation of liver lesions

Following percutaneous interventions for malignant liver lesions, patients are ably assessed with a combination of contrast-enhanced ultrasound (CEUS) and perfusion-imaging software, according to the authors of a study published online September 25 in Ultraschall in der Medizin/European Journal of Ultrasound.

Across the Atlantic, an old institution reboots around innovation in medical imaging

A new ultrasound system for diagnosing breast cancer is among several imaging innovations in the works at the U.K.’s National Physical Laboratory (NPL) in London.

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Bone-removal algorithm opens a window into trauma-induced brain bleeds

Researchers have demonstrated an automated bone-removal algorithm that works with dual-energy CT to let physicians see, unobstructed by the skull, what’s going on in the brains of patients with intracranial hemorrhage following head trauma.

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Pain panel: Don’t use brain imaging as a medicolegal ‘lie detector’

A task force convened by the International Association for the Study of Pain is warning against the use of neuroimaging in legal cases involving patients who claim they’re living with chronic pain.

Bird brains: CT links development of avian skulls to baby dinos

A new study featuring 3D CT imaging has shown how bird skulls evolve differently than relatives and ancestors. Instead, they develop more like young dinosaurs and crocodiles.

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Functional MRI shows cognitive rehab aiding mildly impaired elderly minds

The cognitive therapy called Attention Process Training-II (APT-II) provides worthwhile benefits to elderly patients with mild cognitive impairment (MCI) who have cerebral small vessel disease and are therefore at heightened risk for dementia.

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Ultrasound, other tests point to chronic shoulder problems for swimmers

The finding isn’t likely to sway Katie Ledecky or other swimmers from training for the 2020 Summer Olympics in Tokyo, but a small study at Henry Ford Health System in Detroit has shown that long competitive careers in the pool can saddle these athletes with chronically reduced mechanical properties in muscles and tendons of the shoulder, heightening the likelihood of rotator cuff damage.

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.