Remove Image Interpretation Remove Patient Care Remove Radiologist
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HPI: Nonradiologists interpret more than a third of office-based imaging

AuntMinnie

A significant percentage of imaging studies ordered by office-based healthcare providers are self-interpreted rather than referred to radiologists for reading, according to researchers from the Harvey L. of office-based studies were interpreted by the ordering provider, and 58.5% Neiman Health Policy Institute (HPI).

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The Radiologist Shortage is Here

Ben White

It should go without saying, but I’ll say it anyway: these are my opinions, formed from the combination of my biases, my experience as a radiologist since beginning residency 10 years ago, and my many conversations with radiologists across the country. Imaging volumes are increasing between 3 to 5% per year. Six weeks?!

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Radiologists can promote health equity with responsible AI use

AuntMinnie

In her presentation, Noushin Yahyavi, MD, from the University of Maryland in Baltimore discussed ways that stakeholders in imaging AI, including radiology departments and AI vendors, can better promote health equity with the technology. Biased data results in biased AI models,” Yahyavi said.

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Can LLMs help improve oncologic imaging interpretation?

AuntMinnie

Radiologists highly prefer patient clinical histories generated by large language models (LLMs) for oncologic imaging requisitions to those typically produced by referring physicians,according to research published February 4 in Radiology.

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AI improves performance of nonradiologists in chest imaging

AuntMinnie

AI improves chest x-ray imaging interpretation by nonradiologist practitioners, which could be useful in low-resource settings, according to research published January 29 in Chest. Still, they may be tasked with clinical decision-making based on such findings in emergency settings without radiologists being there all the time.

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Academic Institutions Launch Groundbreaking Healthcare AI Challenge

Imaging Technology

The American College of Radiology (ACR), a professional medical society representing radiologists, has also joined the Healthcare AI Challenge Collaborative as a founding member to ensure its 42,000 members have access to the Healthcare AI Challenge. Additional member institutions will be announced in subsequent phases.

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National Cancer Prevention Month: The Role of Imaging in Early Detection

Vesta Teleradiology

This technology mitigates the challenges posed by a shortage of on-site radiologists and enhances the quality of care in remote areas. A report from Healthcare IT News highlights how teleradiology enables radiologists to interpret scans remotely, increasing flexibility in work schedules and expanding access to specialized expertise.