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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Eko Health, the California-based healthcare technology company known for its advanced stethoscopes, has received U.S. Food and Drug Administration (FDA) approval for a new artificial intelligence (AI) offering designed to detect low ejection fraction (EF).

Eko Health raises $41M to expand footprint of its AI-powered stethoscopes

Now that the company has gained FDA approval for multiple algorithms, Eko Health aims to reach as many patients as possible with its AI-powered devices.

AI decision support tool used in breast cancer screening

Commercially available AI reduces radiologists' workload by 34% in certain screening settings

It also increases cancer detection rates and reduces false positives, according to new work published in the journal Radiology. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI uses imaging results to ID high-risk TAVR patients with speed, accuracy

Researchers developed an advanced AI model capable of extracting measurements from unprocessed CT images in seconds. It then uses those data to evaluate the patient's mortality risk if they underwent TAVR.

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

AI governance

5 first steps toward do-it-yourself AI governance

A word to the wise among leaders of hospitals and health systems: Don’t wait on the government to tell you how to keep healthcare AI on track and healthcare providers up to speed. 

HeartFlow Plaque Analysis

AI-based coronary plaque assessments 1 step closer to Medicare coverage

According to a new proposal, using AI to evaluate CCTA results and quantify plaque buildup is “reasonable and medically necessary” in certain clinical scenarios.

cardiologist viewing heart data

Primary care docs lack trust in AI, making it unlikely they'll invest in applications, new survey says

Despite the opportunistic screening capabilities afforded by artificial intelligence applications, primary care providers are hesitant to embrace the technology.  

computer vision in radiology

The promise and potholes of computer vision as viewed from a radiological vantage point

Radiologists are known to miss comical oddities planted in medical images. In one study conducted in 2013, 83% of rads famously missed a man in a monkey suit waving hello from inside a lung scan.

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