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. 

Marcelo DiCarli, MD, chief, division of nuclear medicine and molecular imaging, executive director for the cardiovascular imaging program, Brigham and Women's Hospital, discusses how artificial intelligence (AI) is impacting cardiac imaging.

What is the ROI for adopting AI in cardiac imaging?

Marcelo DiCarli, MD, and Rob Beanlands, MD, discussed the long-term value of investing in the development and implementation of AI technologies. 

artificial intelligence warning united nations

Int’l panel: Safeguard human health against AI now—or risk losing the chance forever

As the world grapples with the potential downsides of generative AI, a global group of healthcare researchers is warning of health perils that could emanate from well beyond clinical settings.

National Science Foundation AI Institutes

$140M in federal funds primed to advance AI across 7 realms

The National Science Foundation (NSF) is setting up seven new institutes for studying foundational AI. Two of the initiatives have healthcare as a prime focus.

MAUDE database medical device safety

Risk points revealed in US database of AI-powered medical devices

Researchers analyzed 266 safety events reported to the FDA’s Manufacturer and User Facility Device Experience (“Maude”) program.

Large language AI ChatGPT concerns thought leaders

Generative AI: 5 concerns voiced by healthcare thought leaders

Every industry on earth is buzzing over the promise and potential of ChatGPT and similarly sharp AI models, whether “large language” or another generative form. Healthcare is no exception. But shouldn’t it be?

David Gruen radiologist and Merative Merge CMO speaking on radiology IT trends at HIMSS 2023. #HIMSS #HIMSS2023 #HIMSS23

Key radiology IT trends at HIMSS 2023

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

Quantum computer superconductivity

Moderna throws in with IBM over quantum computing, generative AI for healthcare

Fresh off its success using AI to develop a blockbuster COVID vaccine, up-and-coming biotech player Moderna (founded 2010) has won the confidence of 112-year-old Big Blue as a strategic partner.

bullish investments in healthcare AI

What healthcare AI investors have been saying at HIMSS23

If great power obligates its wielder to exercise great responsibility, those advancing AI in healthcare are up to their necks in duty.

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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