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.

AI model classifies patients by aortic stenosis severity, could improve AVR timing

The classifier was developed using imaging data from nearly 2,000 patients.

September 15, 2021

New AI model predicts heart failure hospitalizations

Detecting heart failure issues early on, one researcher observed, can improve patient care and hospital efficiency at the same time.

August 23, 2021

Cardiovascular imaging specialists raise $33M to ramp up use of AI platforms

The Blue Venture Fund, a collaboration of dozens of Blue Cross Blue Shield companies, led the funding round.

August 17, 2021

AI model evaluates ECG data as well as cardiologists

The team's convolutional neural network was trained on data that is readily available at most facilities.

August 5, 2021

Medtronic gains FDA approval for AI models focused on cardiac monitoring

The advanced algorithms address two areas known for causing false ICM alerts: atrial fibrillation and asystole.

July 28, 2021

Want a more accurate AI model for predicting CVD? Feed it social data

Researchers stressed that clinicians have an opportunity to improve their machine learning models by providing data on specific social and environmental factors.

July 27, 2021

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

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

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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."

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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