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.

WashU AI device earns FDA's Breakthrough Device designation.

'Revolutionary' AI risk assessment tool earns FDA's Breakthrough Device designation

The technology is said to be twice as accurate at predicting five-year cancer risk compared to current risk assessment methods.

Alan Matsumoto, MD, FSIR, FACR, FAHA, Chairman of Board for the American College of Radiology, professor of radiology and chair of the Department of Radiology, at the University of Virginia, explains ACR support for the Radiology Outpatient Ordering Transmission (ROOT) Act bill in Congress that calls for appropriate use criteria to be used instead of prior authorization.

ACR supports bringing back clinical decision support to combat prior authorizations

Alan Matsumoto, MD, chair of the American College of Radiology, explains ACR support for the Radiology Outpatient Ordering Transmission (ROOT) Act in Congress.

Man vs. Machine artificial intelligence AI

Noted scientists urge imaging groups to consider ‘division of labor’ between AI, radiologists

Renowned cardiologist Eric J. Topol, MD, and Harvard AI authority Pranav Rajpurkar, PhD, shared their thoughts in a commentary published by the RSNA.

Lunit AI detects interval breast cancer missed by radiologists

Commercially available AI spots up to 1/3 of interval cancers missed by radiologists

Considering the often-aggressive nature of interval breast cancer, the findings could represent a significant step toward improving patient outcomes, authors of a new research paper suggest.

Healthcare AI today: Woke AI pros & cons, AI in the states, Doximity’s free AI scribe, more

We’ve looked at woke from all sides now. Woke AI, that is. It’s become a widely discussed thing, thanks to President Donald Trump’s July 23 executive order “Preventing Woke AI in the Federal Government.”

Implementing LLMs in healthcare? First, do some harm reduction

By viewing large-language AI models through the lens of harm-reduction thinking, healthcare adopters can cultivate a responsible, ethical and optimal integration of the technology.

Large language models outperform physicians at imaging modality selection, study shows

New findings highlight the “remarkable potential” of these artificial intelligence tools in improving radiology workflows.

Cardiac surgeon John Puskas, MD, Emory University, says CCTA will make invasive angiography obsolete very soon.

CCTA could make invasive angiography a thing of the past

John Puskas, MD, thinks coronary CT angiography is on its way to completely transforming patient care.

Artificial Intelligence

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

Which LLM is best for explaining radiology results?

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

FDA clears new AI-enabled coronary plaque analysis software

AI predicts interval cancer risk based on negative mammograms