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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AI model predicts diabetes risk using MRI results

The algorithm measures the amount of fat surrounding a person's heart, using that information to create an accurate diabetes risk assessment. 

July 7, 2021
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Tai chi could help ease depression, anxiety among stroke survivors

An eight-week tai chi course provided key benefits for older stroke survivors, researchers reported. 

June 21, 2021

Combining AI with cardiac imaging helps predict heart attacks, cardiovascular deaths

The findings were presented virtually during the Society of Nuclear Medicine and Molecular Imaging's 2021 Annual Meeting.

June 14, 2021

New AI model uses readily available healthcare data to predict type 2 diabetes

The team’s algorithm was trained, validated and tested with data from a total of more than 2.1 million patients.

May 25, 2021

AI model helps clinicians predict post-TAVR infective endocarditis

To build and validate their advanced AI model, researchers explored data from nearly 78,000 TAVR hospitalizations.

May 10, 2021

Advanced AI model predicts risk of CVD death using low-dose CT exams

Sharing their findings in Radiology: Cardiothoracic Imaging, the researchers said their AI model should be easy to implement without creating a lot of additional work. 

April 15, 2021
As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

GE Healthcare debuts new AI offering for cardiac imaging

The new AI tool can be used alongside GE Healthcare’s full line of Venue ultrasound systems, including the new Venue Fit. 

March 30, 2021
Money

Viz.ai raises $71M to focus its AI capabilities on cardiology, pulmonary care and other specialties

The company hopes to expand the use of its AI platform, primarily used to treat stroke patients, so that it can make a bigger impact on patient care. 

March 17, 2021
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Around the web

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

Radiology Business
What does radiology have to do with climate change?

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."

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