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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artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

hospitals navigating AI complexities survey

How are hospitals navigating AI’s complexities? Surveyors ask and tell

Only 16% of almost three dozen healthcare executives report having a policy for AI governance.

Valentines Data

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence terminology AHA

5 terms every hospital trustee—and healthcare AI stakeholder—should know

As AI continues infiltrating healthcare at nearly every level, the technology’s potential for good and ill must become—or remain—a preeminent concern for hospital boards of trustees.

artificial intelligence robot evaluates healthcare data

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.

large language generative AI

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

transparency in artificial intelligence CDRH

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.

Jeremy Slivnick, MD, presents at the American Society of Echocardiography (ASE) 2023 meeting on how artificial intelligence (AI) can help make echocardiography better able to detect subtle signs of early cardiac amyloid disease when it is easier to treat with better outcomes. ssistant professor of medicine and an advanced cardiac imager at the University of Chicago.

AI models for cardiac amyloidosis could make a world of difference

Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated. 

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