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

HeartFlow’s AI-powered CAD offering reaches a significant milestone

The company's trademark offering has now been used to evaluate one quarter of a million patients. 

January 3, 2024
Example of a totally AI driven echocardiography workflow on the new Siemens Origin ultrasound system unveiled in 2023. The AI did all the work on this screen, taking a 3D echo exam and automatically segmenting the anatomy, contoured all the chambers, found the ideal views to display and then calculated all the measurements in seconds. Photo by Dave Fornell at TCT 2023. 

Cardiology now has more than 100 FDA cleared AI algorithms; experts say that is just the beginning

Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.

December 14, 2023
AI artificial intelligence stethoscope doctor

5 key criteria for AI prediction models in cardiology

AI-based prediction models have shown significant promise, but many are still flawed in a way that limits their value. 

December 13, 2023

New imaging vendor focused on AI, robotics raises $36M with help from GE Healthcare

The funds are expected to go toward bringing in new employees and accelerating the development of a new cardiac imaging offering. 

December 12, 2023
Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

December 6, 2023
Example of cardiac CT and how spectral imaging assessment of the scan and show areas myocarditis as part of a demo in the Philips booth at RSNA 2023. Cardiac CT took center stage in all of the large CT vendors this year at RSNA and four new CT scanners where introduced, all of which were being promoted for their cardiac imaging capabilities. Photo by Dave Fornell #RSNA #YesCCT #RSNA23 #RSNA2023

Cardiac CT's continued rise on display at RSNA 2023

CCTA has seen rapid adoption and growth over the past two years, and RSNA vendors fed that trend with new product launches.

December 5, 2023
artificial intelligence consultation

Deep learning in cardiovascular imaging: 4 key takeaways for cardiologists

More and more AI algorithms are being trained to learn, think and act like a human physician. What does this mean for the future of cardiovascular imaging as time goes on?

November 21, 2023
Arineta Cardio Imaging, a healthcare company based in Israel, gained clearance from the U.S. Food and Drug Administration (FDA) for the deep learning image reconstruction (DLIR) technology used in its SpotLight cardiovascular CT scanners. Arineta Cardio Imaging cardiovascular CT scanners AI.

FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans. 

November 20, 2023

Around the web

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

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."

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