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.

Australian tech company opens new US office, eyes FDA approval for AI CAD solution

The company's flagship offering uses AI to evaluate 3D images of a patient's heart for signs of atherosclerotic plaque.

April 8, 2022

AI model able to ID early signs of type 2 diabetes on imaging results

The authors hope their findings could lead to earlier diagnoses and improvements in patient care.

April 5, 2022

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?

AI distinguishes between a heart attack and takotsubo syndrome more accurately than cardiologists

The advanced AI model outperformed a team of cardiologists, delivering a better AUC and overall accuracy.

March 30, 2022

AI-powered ECG analysis could boost care for patients with hypertrophic cardiomyopathy

Advanced algorithms can pick up on key details in a 12-lead ECG that human readers are unable to see.

March 11, 2022

EHRA 2022, the yearly get-together hosted by the European Heart Rhythm Association (EHRA), is scheduled for April 3-5 at the Bella Center in Copenhagen, Denmark. European Society of Cardiology

AFib, AI and heart-healthy diets: European Society of Cardiology previews EHRA 2022

The European Heart Rhythm Association's annual conference is headed to Denmark.

March 11, 2022

Automated CT scoring system accurately predicts prognosis in stroke patients

The study used non-contrast CT and CT perfusion imaging to analyze agreement between an automated reader and human radiologists with differing experience levels.

February 18, 2022

AI improves detection of severe CAD in stress echocardiograms

Advanced algorithms can lead to significant improvements in agreement among specialists, researchers found.

December 17, 2021

Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

Cardiologs puts its AI model up against the Apple Watch—and wins

The company reported that its deep neural network led to improved sensitivity and fewer unclassified findings.

November 16, 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.

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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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