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.

$Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow$
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.
Biosense Webster updates 3D heart mapping software with advanced AI models
The update includes multiple new algorithms designed to improve efficiency during cardiac ablation procedures.
AI helps cardiologists track new drug's effect on inflammation
The combination of AI and CT helped Nehal Mehta, MD, and colleagues track the performance of a new drug designed to target coronary inflammation.

$Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow$

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.

May 14, 2024

Remote ECG access on a smart phone via the Viz.ai Cardio Suite, which enables access to dynamic ECG, echo, MRI, CT images and reports. It also enables automated detection on imaging to alert care teams for STEMI, hypertrophic cardiomyopathy, pulmonary embolism, aortic dissection and abdominal aortic aneurysm, and heart failure.

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.

May 14, 2024

artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

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.

May 13, 2024

The Carto 3 System Version 8, includes new modules designed to improve efficiency in addition to advanced artificial intelligence (AI) algorithms. The new modules included in this update are CartoSound FAM, which automatically generates a model of patient’s left atrial anatomy before users insert a catheter into their left atrium, and Carto Elevate, which helps electrophysiologists by making the activation maps more accurate and tracking atrial fibrillation (AFib) burden before and after ablation.

Biosense Webster updates 3D heart mapping software with advanced AI models

The update includes multiple new algorithms designed to improve efficiency during cardiac ablation procedures.

May 8, 2024

Interview with Nehal Mehta, MD, University of Pennsylvania, who explains how coronary inflammation can be seen using AI on cardiac CT scans to better risk stratify patients and begin preventive drug therapy.

AI helps cardiologists track new drug's effect on inflammation

The combination of AI and CT helped Nehal Mehta, MD, and colleagues track the performance of a new drug designed to target coronary inflammation.

May 7, 2024

ChatGPT passes interventional cardiology certification exam

The popular AI chatbot's performance highlighted both its strengths and its weaknesses. It can answer multiple-choice questions, for example, but it struggles with consistency.

May 3, 2024

ChatGPT struggles to evaluate heart risk—but it could still help cardiologists

Relying on the AI-powered chatbot for heart assessments could be "dangerous," researchers warn, but the technology may still be helpful in certain situations.

May 1, 2024

Sarah Jane Rinehart, MD, director of cardiac imaging, Charleston Area Medical Center, Charleston West Virginia, as been using the FDA-cleared RoadMap artificial intelligence algorithm from HeartFlow in studies and in clinical used since it was cleared and said it helps cardiologists in several ways. #ACC #ACC24 #ACC2024 #Heartflow #AIhealth

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

April 26, 2024

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