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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AI could be a game-changer for TAVR, but cardiologists remain ‘irreplaceable’

The rise of TAVR as a go-to treatment option for many AS patients has been one of the biggest stories in cardiology for several years now. How will advanced AI models impact this trend going forward? 

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FDA clears advanced AI model for detecting, quantifying bleeding strokes

The new algorithm from Viz.ai is capable of identifying, labeling and quantifying brain bleeds in noncontrast CT images.

Marielle Scherrer-Crosbie, MD, Hospital of the University of Pennsylvania, discusses the latest trends in cardiac strain echo.

Interest in strain echo imaging is rising, but hurdles remain

Marielle Scherrer-Crosbie, MD, told Cardiovascular Business that the current lack of reimbursement for strain echocardiography has been a challenge for care teams. 

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US senators seek heightened scrutiny around AI’s use in healthcare

Several experts testified at the Senate Finance Committee inquiry, including two physicians and Siemens Healthineers' head of digital health

Accelerated MRI sequence helps radiologists assess heart disease patients without breath-holding

French imaging experts utilized an investigational, free-breathing, short-axis imaging sequence that deployed deep learning to reconstruct images. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Healthcare stakeholders to AI-equipped devices: We don’t trust you if we don’t know what you don’t know

It’s not easy to get patients, providers, payers, vendors and regulators to agree on any one aspect of healthcare delivery. But the CDRH recently managed to get everyone to settle on a working definition of transparency.

Kyle Souligne, director, enterprise imaging radiology, Agfa Healthcare, discusses technologies like workflow orchestration, AI and cloud that can be used to optimize radiologist’s processes and create efficiency, so they work smarter, not harder. These technologies are playing an increasing role to address the shortage of radiologists.

Optimizing reading efficiency to address radiologist shortages

Agfa Healthcare's Kyle Souligne discusses technologies that can optimize physicians' efficiency to help practices do more with less.