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. 

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GE HealthCare adds AI guidance to handheld ultrasound devices

Caption AI is designed to make cardiac imaging more accessible by offering step-by-step guidance on probe movements and ensuring image quality through a built-in meter.

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AI identifies signs of COVID-19 in lung ultrasound images

The deep neural network was trained using over 40,000 patient ultrasound images and computer-generated facsimiles made from real scans.

artificial intelligence AI heart cardiology

FDA assisting with new imaging 'marketplace' designed to improve AI

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.

Avicenna.AI, a French artificial intelligence (AI) startup co-founded by a radiologist, has received U.S. Food and Drug Administration (FDA) clearance for two new offerings designed to automatically identify cardiovascular findings in CT scans, CINA-iPE and CINA-ASPECTS.

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

artificial intelligence robot evaluates healthcare data

New AI model predicts cancer risk based on breast asymmetry

The program is a simplified modification of the popular Mirai deep-learning algorithm, developed by researchers at MIT to predict future cancer.

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

FDA clears AI-enhanced 3D heart models generated from MR and CT images

The inHeart models significantly reduce cardiac ablation surgery times.

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Philips moves digital pathology to the cloud with AWS

The partnership aims to move labs to digital workflows to streamline diagnostics.

HeartFlow FFR-CT is a non-invasive imaging method to determine the fractional flow reserve for the entire coronary tree.

AI-based CAD assessments as accurate as FFR, new 10-year study confirms

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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Around the web

Cardiovascular Business
Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

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