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. 

Testing Exam

Meta's new large language model excels at board-style radiology prompts

Meta Llama 3—a newer open-source large language model—may soon be giving other LLMs a run for their money in the medical field.

Siemens Healthineers has gained U.S. Food and Drug Administration (FDA) clearance for Acuson Origin, its new cardiovascular ultrasound system featuring advanced artificial intelligence (AI) capabilities. The Acuson Origin represents a significant update from the prior Siemens Healthineers cardiovascular ultrasound system, the Acuson SC2000.

Siemens Healthineers gains FDA clearance for new AI-powered cardiovascular ultrasound system

The Acuson Origin system includes advanced AI algorithms designed to assist users with the treatment of diagnostic, structural heart, vascular, electrophysiological and pediatric patients. It also comes packaged with a new 4D ICE catheter capable of multiplanar reconstruction imaging with or without the use of an electrocardiogram.

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Industry Watcher’s Digest

The FDA has approved 107 AI-equipped medical devices so far this year.

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Sustainable AI: 5 ways healthcare can do its part

Did you know healthcare is responsible for 4.4% of global greenhouse gas emissions? 

An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology still a leader in healthcare AI, trailing only radiology in FDA-cleared algorithms

At its current rate, the number of clinical AI models cleared by the FDA will break 1,000 before the end of 2024. Cardiology continues to play a significant role in this ongoing trend. 

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FDA adds dozens of AI-enabled radiology applications to list of clearances

Around two-thirds of all approved artificial intelligence-powered clinical devices are catered to radiology settings.

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Industry Watcher’s Digest

Despite the great expectations it continues to build, clinical AI is still struggling to find a foothold in healthcare. 

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5 measures of AI maturity in which healthcare has some growing up to do

There may be upsides to being less mature at this stage of society’s AI shift—relentless optimism could detract from mitigating potential risks.