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. 

Advanced imaging reveals concussed athletes may be returning too soon

Brain MRI scans of concussed university hockey players showed the protective tissue insulating brain cell fibers became jarred loose two weeks after injury—despite being cleared to return, research published in the Frontiers in Neurology revealed.

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Radiologists connect via AI ‘hives’ to enhance pneumonia diagnosis

A new technique that connects a small group of radiologists together using artificial intelligence (AI) algorithms performed better than individual doctors or algorithms alone in detecting pneumonia on x-rays.

Mapping CT scan locations on computational humans may improve patient dose monitoring

A new algorithm that can automatically map CT scan locations of patients on computational human phantoms may trump manual mapping techniques for patient dose monitoring, clinical trials and epidemiologic studies, detailed a study published online Sept. 5 in the Journal of Digital Imaging.

fMRI reveals mindful people may feel less pain

Why do some people feel more pain than others? Using fMRI, researchers at Wake Forest School of Medicine in Winston-Salem, North Carolina, found the answer may lie in mindfulness, according to recent research published in PAIN.

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Tetris-inspired AI program can ID breast cancer in half the time

An automated medical image analysis program developed by researchers—deriving its functionality from Tetris, the widely known puzzle-piece video game—can identify breast cancer twice as quickly as existing methods, according to a Sept. 6 release from the University of Adelaide in Australia.  

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Singapore team uses AI to stop progression of prostate cancer

A team of Singapore-based researchers has created an artificial intelligence (AI) platform capable of calculating a patient’s optimal prostate cancer drug dosage that ultimately stopped the disease’s progression in a patient, according to a study published in Advanced Therapeutics.

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7 factors that will push implementation of AI in healthcare

The adoption of artificial intelligence (AI) and deep learning in healthcare is becoming increasingly popular and it's being propelled by seven distinct factors, according to one of two partnering editorials published online in JAMA.

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IBM proposes safeguard document to increase trust in AI

Researchers from IBM recently proposed a new safeguard designed to increase transparency and trust in artificial intelligence (AI), according to research published on the company’s website.

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.