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.

Cardiology now has more than 200 FDA-cleared AI algorithms
Cardiology is No. 2 behind radiology when it comes to FDA-cleared AI algorithms. Neurology, meanwhile, is a distant No. 3.
FDA clears AI-enabled cardiac MR planning technology from Philips
The new SmartHeart technology automates 14 cardiac views in less than 30 seconds. It was designed to increase productivity and bring more consistency to cardiology and radiology departments.
Radiology experts develop practical framework for evaluating AI models before purchasing
Stanford and Rad Partners recently developed a structured, pre-deployment method for assessing radiology AI models, detailing their work in the American Journal of Roentgenology.
CVS Health taps Google Cloud for new AI patient engagement platform
Dubbed Health100, the application is being launched as a subsidiary of CVS Health, utilizing Google’s cloud infrastructure data access and security. Powered by AI, Health100 is said to be a full assistant to help patients find providers, services and prescriptions, with the aim being to reduce out-of-pocket spending.
4 points about healthcare AI that notable experts are emphasizing in the public square
The brain is the single most complex internal system in the body. That’s a no-brainer. But can you name the runner-up? (Bonus points for guessing what this has to do with healthcare AI.)

Ligence Heart is a recently FDA cleared AI that fully automates analyses, measurements and reporting for transthoracic echo.

Cardiology now has more than 200 FDA-cleared AI algorithms

Cardiology is No. 2 behind radiology when it comes to FDA-cleared AI algorithms. Neurology, meanwhile, is a distant No. 3.

Philips has secured U.S. Food and Drug Administration (FDA) clearance for SmartHeart, the company’s new artificial intelligence (AI)-powered planning technology for cardiac MR (CMR) exams.

FDA clears AI-enabled cardiac MR planning technology from Philips

The new SmartHeart technology automates 14 cardiac views in less than 30 seconds. It was designed to increase productivity and bring more consistency to cardiology and radiology departments.

Radiology experts develop practical framework for evaluating AI models before purchasing

Stanford and Rad Partners recently developed a structured, pre-deployment method for assessing radiology AI models, detailing their work in the American Journal of Roentgenology.

CVS Health taps Google Cloud for new AI patient engagement platform

Dubbed Health100, the application is being launched as a subsidiary of CVS Health, utilizing Google’s cloud infrastructure data access and security. Powered by AI, Health100 is said to be a full assistant to help patients find providers, services and prescriptions, with the aim being to reduce out-of-pocket spending.

4 points about healthcare AI that notable experts are emphasizing in the public square

The brain is the single most complex internal system in the body. That’s a no-brainer. But can you name the runner-up? (Bonus points for guessing what this has to do with healthcare AI.)

Cardiologists develop new AI screening tool for structural heart disease

Researchers have developed an advanced AI model capable of detecting signs of severe AS, mitral regurgitation and other complications in ECG results. For example, one 84-year-old patient who was hospitalized for a fractured femur ended up being scanned and treated with TAVR just days later.

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AI spots heart and lung conditions in eye images of premature infants

The AI model showcased an ability to accurately identify signs of pulmonary hypertension in retinal images. "This opens the possibility of using a simple photograph to gain insights into a premature infant's overall health," one researcher explained.

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Sectra to acquire Oxipit

The deal is expected to be finalized later this month once customary closing conditions are met.