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. 

Nurses and AI artificial intelligence

4 ways to help nurses make friends with algorithms

Nurses tend to feel optimistic if not exactly excited about AI’s advances into their profession. Those who hold back tend to share a common concern—sacrificing care quality for the sake of tech-enabled efficiency. 

big pharma ai artificial intelligence

In pharma, AI will probably make the big even bigger

Generative AI is fixing to transform the pharmaceutical industry. However, not all adopters will reap rewards in comparable degrees.  

AI in healthcare

Said and heard this week in and around healthcare

10 notable quotes about AI from the past 5 days.

artificial intelligence AI in the C suite

It’s 2024. Does the C-suite know—or care—what workers are doing with generative AI?

In the rush to do something, anything with AI, are America’s business leaders playing fast and loose with the risks? 

voice audio recording smartphone

AI detects hypertension in voice recordings

A machine learning-powered smartphone app was trained to detect hundreds of biomarkers in the human voice, using even the tiniest detail to anticipate when patients may present with symptoms of hypertension. 

artificial intelligence AI in healthcare

UN effort afoot to address the world’s ‘governance deficit with respect to AI’

The AI advisory board of the United Nations is calling for the creation of a global AI data framework. 

healthcare providers and payers AI strategy

Providers trail payers in healthcare AI action

If putting an AI plan in place were a team sport, the Payers would be outpacing the Providers quite handily. 

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 AI platform for planning ahead of TAVR, other heart procedures

The cloud-based platform identifies and measures cardiac structures in CT scans.

Around the web

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

Cardiologists and other physicians may soon need to provide much more information when ordering remote patient monitoring for Medicare patients.

Why are so many cardiovascular devices involved in Class I recalls? One possible reason could be the large number of devices hitting the market without undergoing much premarket clinical testing. 

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