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.

Healthcare AI today: Rusty clinical skills, AI growing up so fast, AI for the malnourished
Clinicians who come to rely on AI for decision support risk the dulling of their skills. The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.
Which LLM is best for explaining radiology results?
With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results.
Rayus Radiology joins others in offering $40 mammography AI add-on service
The private equity-backed imaging group is initially launching artificial intelligence-enhanced breast imaging at clinics across Washington state.
FDA clears new AI-enabled coronary plaque analysis software
Circle Cardiovascular Imaging, a Canadian medtech company, received the key approval for its cvi42 | Plaque platform.
AI predicts interval cancer risk based on negative mammograms
The ability to predict interval cancer risk is intriguing for providers, as these cancers are often more aggressive and have worse prognoses.

Healthcare AI today: Rusty clinical skills, AI growing up so fast, AI for the malnourished

Clinicians who come to rely on AI for decision support risk the dulling of their skills. The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.

Which LLM is best for explaining radiology results?

With patients gaining access to imaging reports earlier than ever, it's critical they have access to large language models that can accurately summarize the results.

Rayus Radiology joins others in offering $40 mammography AI add-on service

The private equity-backed imaging group is initially launching artificial intelligence-enhanced breast imaging at clinics across Washington state.

cvi42 | Plaque from Circle Cardiovascular Imaging

FDA clears new AI-enabled coronary plaque analysis software

Circle Cardiovascular Imaging, a Canadian medtech company, received the key approval for its cvi42 | Plaque platform.

Breast cancer AI ribbon pink artificial intelligence

AI predicts interval cancer risk based on negative mammograms

The ability to predict interval cancer risk is intriguing for providers, as these cancers are often more aggressive and have worse prognoses.

Healthcare AI today: AI bubble may burst, AI hype and hope, agentic AI coming on strong

What do you get when you fall in love with AI in healthcare? A guy with a pin to burst your bubble.

AI bests radiologists at predicting lung cancer treatment responses

More accurate response assessments could give providers an opportunity to proactively manage treatment decisions in the future.

Healthcare AI today: Efficiency vs. effectiveness, ChatEHR, inspiring AI leader, more

Just because it’s efficient doesn’t mean it’s effective. Nowhere is this thought more deserving of reflection than in healthcare AI—especially when it’s applied to clinical decision support.