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.

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?
AI has come a long way in healthcare, still has a long way to go: Research recap
As AI continues its march through healthcare organizations around the world, the notion that it will replace the sector’s human workers fades but does not disappear.

Breast cancer AI ribbon pink artificial intelligence

AI effectively flags mammograms of women who would benefit from supplemental MRI

Experts involved in the algorithm's development believe its time-saving potential could help improve both radiologist workflows and patient outcomes.

Top performing PACS companies based on user feedback

Agfa and Sectra both performed well with end-user satisfaction scores in the 2025 Best in KLAS list of radiology IT systems.

artificial intelligence AI in healthcare

Healthcare AI Digest

Don’t judge DeepSeek on the innovativeness of its programming. Judge it on the degree to which it shakes up the economics of the AI market.

chatgpt artificial intelligence healthcare

How do radiologists feel about utilizing GPT-4 in practice?

In recent years, there has been much talk of the potential for large language models to improve radiology workflows.

To prepare tomorrow’s doctors for evidence-based medicine, instruct today’s med students in dHealth and AI

Medical students are broadly familiar with digital health technologies. Relatedly, they believe AI will play a crucial role in the future of healthcare. These are good signs for the advancement of evidence-based medicine.

AI-based 3D CTA reconstruction solution scores FDA clearance

Using the new solution, CTA recons are completed in a matter of minutes, not hours.

More than words: AI takes NLP to the next level to identify signs of heart failure

Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context.

Nina Kottler, MD, Radiology Partners, offers overview of the U.S. AI regulatory landscape as government and radiologists work on ways to ensure artificial intelligence is not bias and works properly.

Overview of the regulatory landscape of AI in radiology

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias.

Artificial Intelligence

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

AI has come a long way in healthcare, still has a long way to go: Research recap