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.

Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions
“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care."
AI-based coronary plaque evaluations highlight elevated heart risks in women
“This is the perfect technique to identify high-risk patients who would benefit from intensive therapies,” imaging specialist Gudrun Feuchtner, MD, told Cardiovascular Business.
ChatGPT effective at simplifying breast imaging recall letters
Emory University radiologists recently sought to improve the readability of their recall messages, asking the large language model for help.
AI newswatch: Lifecyle AI oversight, data matters, AI vs. animals, more
AI may finally end the paper chase caused by prior authorization. Or it may worsen it.
Cardiology, radiology professionals unite to explore the challenges of diagnosing CAD in women
Coronary artery disease is both underdiagnosed and undertreated in women, and they often receive less guideline-recommended care than men. Why do these disparities persist? And what can today’s healthcare providers do to bring about change?

GE HealthCare signs $1B imaging AI deal with 1 of nation’s largest nonprofits

The collaboration is with Sacramento-based Sutter Health, which operates 24 acute care hospitals across California, employing over 29,000 clinicians.

The imaging iodine contrast shortage is delaying procedures and causing rationing at hospitals. impact is it having on hospitals and the tough decisions that are being made to triage patients to determine if they will get a contrast CT scan or an interventional or surgical procedure requiring contrast. Photo by Dave Fornell

Experts developing AI model that learns from calcium-scoring CT scans

The team hopes to develop a model that will estimate a patient's risk of major cardiovascular events and predict when such events are most likely to occur.

Industry Watcher’s Digest

Having released the latest version of Llama in December, Meta is telling the world that open-source AI is the future of AI in healthcare.

4 ways HHS plans to help shape a national strategy for healthcare AI

HHS has thought through the ways AI can and should become an integral part of healthcare, human services and public health. Last Friday—possibly just days ahead of seating a new secretary—the agency released a detailed plan for getting there from here.

Radiology leaders optimistic about AI but see cost as a key hurdle

The findings are derived from a small survey of radiology department chairs, published in the Journal of the American College of Radiology.

FDA has approved over 1,000 clinical AI applications, with most aimed at radiology

Diagnostic imaging leads the way in AI product approvals by a mile, accounting for more than 70% of all applications on the list.

FDA has now cleared more than 1,000 AI models, including many in cardiology

Cardiology is the medical speciality with the second most FDA clearances overall.

Industry Watcher’s Digest

Is AI adoption a marathon or a sprint?

Artificial Intelligence

Most patients trust AI to interpret their imaging, but certain demographic factors shape these opinions

AI-based coronary plaque evaluations highlight elevated heart risks in women

ChatGPT effective at simplifying breast imaging recall letters

AI newswatch: Lifecyle AI oversight, data matters, AI vs. animals, more

Cardiology, radiology professionals unite to explore the challenges of diagnosing CAD in women