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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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.  
 

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.

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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?

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. 

artificial intelligence AI heart cardiology

ChatGPT struggles with echocardiography, but still shows potential to help cardiology trainees

ChatGPT may not be quite ready to help prepare trainees for their next echocardiography exam—but it does show promise. 

AI cardiology heart artificial intelligence deep learning

The future of cardiology: 5 potentially game-changing AI studies from AHA 2023

AI was one of the biggest stories at the American Heart Association’s Scientific Sessions 2023 conference in Philadelphia. Researchers presented new data about heart attack care, voice recognition algorithms, digital stethoscopes and more. 

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AI specialists raise $80M to ramp up commercialization of imaging analysis software

The big funding round continues a busy year for Elucid as the company works to get its AI software in the hands of more physicians. 

Ultromics EchoGo AI platform

CMS increases reimbursement for AI-powered heart failure platform

Ultromics thinks the significant payment increase will help ramp up utilization among U.S. healthcare providers.

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