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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AI model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

Phillips partners with Amazon to host EI offering, advance AI tools

According to Philips, the partnership with Amazon Web Services broadens its capabilities in enterprise informatics and many other key areas.

AI helps ID patients who would benefit most from strict blood pressure control

The study's findings suggest that AI can help clinicians provide more personalized care than ever before. 

artificial intelligence robot evaluates healthcare data

ChatGPT answers straightforward cardiology questions, but struggles with complex cases

The popular chat-based AI model was able to answer straightforward questions with considerable accuracy. However, it still has certain issues that need to be addressed. 

cardiovascular emergency ambulance

AI could point first responders to ready, willing and able hospitals in real time

People suddenly stricken with a cardiovascular crisis often survive and recover as long as they’re transported ASAP to a hospital that has two attributes: expertise in emergency heart care and capacity to accommodate the incoming episode.

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AI predicts the likelihood of a common TAVR complication

Many patients still require a permanent pacemaker following TAVR. In fact, it is more common after TAVR than after surgical aortic valve replacement. 

Coalition for Health AI

Coalition acts to ensure credible, fair, transparent AI in healthcare

Having identified an “urgent” need for guardrails to keep healthcare AI from veering into an avoidable ditch, the Coalition for Health AI has put together a 24-page guide applicable to numerous groups of stakeholders.

The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

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Around the web

Cardiovascular Business
Payment cuts and beyond: Key takeaways for cardiologists from the 2025 Medicare Physician Fee Schedule

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. 

AI in Healthcare
A modest proposal to rally AI regulators around a simple game plan

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.”

Cardiovascular Business
FDA commissioner urges clinicians to join fight against medical misinformation

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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