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.

FDA clears advanced AI model for predicting heart failure risk
The new algorithm from Implicity evaluates implantable device data and monitors patients for changes that suggest they could experience severe heart failure symptoms in the near future. It was designed to alert clinicians up to weeks in advance.
AI-powered coronary plaque assessments show ‘strong agreement’ with IVUS
HeartFlow's noninvasive Plaque Analysis technology, which uses AI to evaluate CCTA images, delivered assessments that mostly lined up with IVUS results.
$Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow$
AI-based CAD assessments dramatically improve vascular surgery outcomes
PAD patients evaluated with HeartFlow's noninvasive FFR_CTAnalysis technology prior to surgery experienced much better outcomes, including a 63% lower risk of all-cause mortality after five years.
Cardiology ranked No. 2 among all specialties with 122 FDA-cleared AI models
Only radiology is associated with more FDA-cleared AI algorithms than cardiology, according to new federal data.
Medtronic adds new AI models to its insertable cardiac monitors
The new algorithms are automatically applied in the cloud; patients wearing the devices are not required to take any additional steps.

‘Selfies’ that save lives: AI detects heart disease using photographs

The AI algorithm was trained using photographs of more than 5,000 patients.

August 21, 2020

Smartphone cameras use AI to detect diabetes

It has been estimated that more than 200 million people around the world have diabetes and don’t know it. Could AI technology and smartphone cameras help reverse that trend?

August 20, 2020

From heart pumps to hospitals: FDA approves Abiomed’s plan to stream data, empower AI models

The approval means Abiomed can stream patient data from its Impella heart pumps to remote monitoring platforms installed at more than 200 hospitals.

July 16, 2020

Eko’s AI model for low ejection fraction receives FDA EUA to boost pandemic care

The algorithm, developed as part of a collaboration with Mayo Clinic, received Breakthrough Device designation back in December 2019.

May 13, 2020

Researchers using AI to track cardiac health of coronavirus patients given hydroxychloroquine, azithromycin

Cardiologs has announced the beginning of a new clinical trial that will involve monitoring the cardiac health of COVID-19 patients being treated with hydroxychloroquine and azithromycin.

April 23, 2020

Doesn’t miss a beat: AI assesses cardiac function faster than cardiologists

An AI algorithm can assess echocardiograms “more rapidly and comprehensively” than experienced cardiologists, according to a new study published in Nature.

April 2, 2020

FDA greelights AI algorithms that detect heart murmurs, AFib via stethoscope

The FDA has cleared a series of AI algorithms designed by California tech company Eko to facilitate the detection of atrial fibrillation and heart murmurs.

January 28, 2020

Bring on the Bots: Introducing AI into the Revenue Cycle

As costs continue to rise, healthcare organizations must become more efficient with collecting, says Anthony Cunningham, MBA, vice president of Patient Financial Services at Wake Forest Baptist Health. One approach, he explains, is deploying staff away from repetitive tasks and “toward high-value-add work.” That’s where artificial intelligence comes in.

January 8, 2020

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.

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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."

Artificial Intelligence

FDA clears advanced AI model for predicting heart failure risk

AI-powered coronary plaque assessments show ‘strong agreement’ with IVUS

AI-based CAD assessments dramatically improve vascular surgery outcomes

Cardiology ranked No. 2 among all specialties with 122 FDA-cleared AI models

Medtronic adds new AI models to its insertable cardiac monitors

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