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.

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.
Industry Watcher’s Digest
Buzzworthy developments of the past few days.
About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?
This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.
AI model for ankle stress radiography could reduce radiologists’ workload by average of 70%
Interpreting such exams can be a “subjective and time-consuming task,” researchers detailed in Academic Radiology.
$Performing CT-derived fractional flow reserve (CT-FFR) before transcatheter aortic valve replacement (TAVR) improves the accuracy of coronary CT angiography (CCTA) and helps limit unneeded invasive coronary angiography (ICA), according to a new study published in JACC: Cardiovascular Interventions. Heartflow$
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.

HeartFlow Plaque Analysis. A European Heart Journal – Cardiovascular Imaging study compared the noninvasive Plaque Analysis technology developed by HeartFlow, which uses advanced AI algorithms to evaluate coronary CT angiography (CCTA) images, with coronary plaque assessments achieved by using intravascular ultrasound (IVUS). The REVEALPLAQUE trial included data from 237 patients. Plaque Analysis showed strong correlation and high accuracy when compared with IVUS.

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.

May 16, 2024

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

May 16, 2024

bipartisan house task force on artificial intelligence

About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?

This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.

May 16, 2024

AI model for ankle stress radiography could reduce radiologists’ workload by average of 70%

Interpreting such exams can be a “subjective and time-consuming task,” researchers detailed in Academic Radiology.

May 15, 2024

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

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

FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

May 14, 2024

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

May 14, 2024