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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When health accessories grow up, they want to be wearable AI

Wearable health gadgets equipped with AI present myriad opportunities and challenges to healthcare consumers and the healthcare professionals who diagnose, treat and track them. 

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FDA sees promise in new AI model for heart attack detection

Powerful Medical's advanced algorithm was designed to detect STEMI and STEMI-equivalent patterns in a patient’s ECG results.

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ChatGPT exploit could cause data breaches in healthcare, experts warn

According to a report from cybersecurity firm Veriti, more than 10,000 attempted cyberattacks were conducted in a single week, with financial institutions, healthcare and government agencies the prime targets. 

agentic AI agents in healthcare

Next-generation AI agents are headed for healthcare. What will they do once they get here?

Healthcare AI agents can be classified as one of four models. In increasing order of autonomy and clinical integration, these are: foundation, assistant, partner and pioneer. 

Clinical support tool for pediatric autism earns $27M from private equity

Motivity is receiving an injection of cash from Five Elms Capital, a software investment firm. The companies said the funds will be used to hire staff and improve products.  

artificial intelligence AI in healthcare equity equality disparities

Will AI help or hurt the cause of healthcare equality?

AI has a long way to go before it meaningfully closes disparities in healthcare access and delivery. In fact, even when aimed at that goal, the technology can backfire. 

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.

The revolution is here: AI’s growing role in cardiovascular imaging, interventional cardiology

AI has already made a massive impact on healthcare, especially in the fields of cardiology and radiology. With the FDA clearing more and more algorithms, this trend is only expected to grow as time goes on.

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AI could help cardiologists predict bleeding, stroke risks in AFib patients on DOACs

Researchers developed several new AI models that could guide the management of patients with non-valvular atrial fibrillation. There is still some work to do in terms of accuracy, but they already appear to outperform the traditional risk scores being used today.

Around the web

The American College of Cardiology has sent a letter to HHS Secretary Robert F. Kennedy Jr. that outlines some of the organization’s central priorities and concerns. 

One product is being pulled from the market, and the other is receiving updated instructions for use.

If the Trump administration continues taking a laissez-faire stance toward AI—including AI used in healthcare—why not let the states go it alone on regulating the technology?