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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Maui Imaging

Father-son scan startup Maui Imaging balloons fundraising to $40M

Founded in 2006 by Don and Dave Specht, the Arizona company’s computed “echo tomography” product uses sound waves to cross through body barriers for “rapid and effective imaging.” 

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.

Woke DEI

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.” 

Young doctor artificial intelligence AI

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. 

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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.  

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