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. 

ai in healthcare

9 notable quotes from 1 big day at an epicenter of AI in healthcare

As AI continues augmenting the expertise of healthcare professionals, look for it to go further and do nothing less than “enhance humanity.”

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Many imaging journals still lack policies on the use of AI in manuscript writing

Nearly 40% of MEDLINE-indexed radiology journals do not provide guidelines for AI generated content.

Philips presents study results at Heart Rhythm annual meeting demonstrating benefits of its AI-powered cardiac monitoring solutions

With cardiovascular disease on the rise, clinicians and health systems continue to look for ways to deliver high-quality care that is both timely and cost-effective.

AI software improves diagnosis of lung conditions when contrast cannot be used

New software could improve diagnosis of lung conditions for patients who cannot tolerate contrast dye

The machine learning-based software uses a formula called the Integrated Jacobian Formulation to calculate lung volume based on metrics derived from imaging taken during inhalation and exhalation. 

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.

FDA clears advanced AI model for predicting heart failure risk

The new algorithm from Implicity evaluates implantable device data and monitors patients for changes that suggest they could experience severe heart failure symptoms in the near future. It was designed to alert clinicians up to weeks in advance.

HeartFlow Plaque Analysis

AI-powered coronary plaque assessments show ‘strong agreement’ with IVUS

HeartFlow's noninvasive Plaque Analysis technology, which uses AI to evaluate CCTA images, delivered assessments that mostly lined up with IVUS results. 

Congress dome capitol Washington

Industry Watcher’s Digest

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bipartisan house task force on artificial intelligence

About that bipartisan $32B ‘roadmap’ for AI policy: What’s in it for healthcare?

This week Washington took a major step toward nailing down a solid game plan on federal AI spending for everything outside of defense.