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. 

Omada Health launches internal tool and new platform capabilities

As part of the effort, the provider has created the first virtual cardiometabolic clinic to manage diabetes and hypertension.

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AccentCare turns to AI for readmissions help

Home healthcare provider AccentCare is leveraging AI to track social determinants of health and potentially lower readmissions.

AI spots budding conspiracy theories on social media, helping public health officials intervene

By learning how such theories develop online, health advocates can create factual information campaigns to stop falsehoods from spreading.

AI, biology poised to scratch each other’s back

The aggregated datasets are so complex, applying algorithmic analysis for medical uses may help expand AI as it unlocks biology.

Watching social media in real time, AI could help change vaccine skeptics’ minds

Armed with AI-derived observations of tweets and posts, influencers could tailor promotional campaigns and policy interventions to boost COVID vaccine buy-in, a new study suggests.

Student-athletes outfitted with wearables to help study COVID

A major collegiate athletic conference is teaming with a top-tier academic healthcare system and a popular fitness technology company to study the utility of wearables for preventing or monitoring infectious diseases in student-athletes.

IoT outpacing AI and other emerging technologies in infection-conscious nursing

Of five emerging technologies used by nurses to help control infectious diseases, the Internet of Things is the most promising, researchers have concluded. 

Medical AI can’t do much without info-sharing patients—and younger generations aren’t thrilled to be asked

The demand for tailored PHI consent for research is strongest among adults 49 and younger, pressing the need to speed the evolution of policies conducive to AI development.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

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.”