Clinical Research

The central illustration from a study that shows the impact of ECG AI algorithm study case and control selection to train artificial intelligence to better screening patients for cardiac amyloidosis. Image courtesy of JACC Advances.

Using ECG AI to find the cardiac amyloidosis needles in the haystack

Early detection of cardiac amyloidosis is leads to the best outcomes, but it is often missed until later stages. AI is being developed to help detect these patients earlier using ECG and echo.

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.

AI uses imaging results to ID high-risk TAVR patients with speed, accuracy

Researchers developed an advanced AI model capable of extracting measurements from unprocessed CT images in seconds. It then uses those data to evaluate the patient's mortality risk if they underwent TAVR.

artificial intelligence in scientific research

3 ‘illusions,’ 3 ‘visions’ that AI-using researchers need to know to avoid

Scientists are people too. As such, when engaged in research projects using AI, they must resist the very human impulse to over-delegate tasks to algorithms.

AI artificial intelligence stethoscope doctor

AI model detects multiple heart issues in a single 10-second audio clip

The advanced algorithm achieved a sensitivity of 93% and specificity of 98%. It was trained to identify up to five different valvular diseases at the same time from a single audio clip.

artificial intelligence industry

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Medical student artificial intelligence training

Medical educators encouraged to equip physicians-to-be with 4 AI competencies

Researchers at the University of Illinois Chicago have developed an elective course that can quickly transform fourth-year medical students from functional AI novices to budding AI experts.

Artificial intelligence (AI) analysis from a remote ECG monitor showing the AI generated report on the Philips Cardiologs system, during a demonstration of the technology at Heart Rhythm 2023. Photo by Dave Fornell

AI correctly IDs ventricular arrhythmias in 88% of patients with sustained VT

New research suggests AI could offer physicians a new, state-of-the-art approach to sudden cardiac arrest risk management.

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.

Around the web

U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.

When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.