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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. The full research article and editorial can be found here and here.

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Ultralearning Radiology

Ben White

This post is meant to prompt you to do the work of meta-learning: learning about learning, trying to figure out the best ways to learn the art and science of practicing radiology. When it comes to drilling in diagnostic radiology, I also interpret this to mean honing your search pattern/approach.

Radiology 225
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AI boosts radiologist perception training

AuntMinnie

A team in Europe has launched a novel web application to help radiology trainees gain skills in detecting lung nodules on chest x-rays. They provided a step-by-step description of how to use it in an article published October 24 in the British Journal of Radiology. Self-directed learning is a mainstay of radiological education.

X-ray 277
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AuntMinnie 2016: A proposal would let nurses take on imaging duties

AuntMinnie

New articles will be published each Monday until our official anniversary at RSNA 2024. Our top article in 2016 reported on a proposal to enable advanced-level nurses in the VA health system to order, perform, supervise, and interpret some imaging studies. Why would nurses want to take this on?"

Nursing 147
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Direct Radiology Can Help Meet Increased Women’s Imaging Demand This Year

Direct Radiology

In an effort to help our clients address the backlog created by this dramatic decrease earlier this year, Direct Radiology now offers dedicated women’s imaging radiologists as part of its full-service teleradiology practice. How Can Direct Radiology Help Increase Your Women’s Imaging Revenue?

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Why Search Patterns Minimize Radiology Errors and Reduce Malpractice Risk—and How to Use Them (Dimapur, Kiphire, Kohima, Longleng, Mokokchung, Mon)

Future Teleradiology

Introduction : Radiology is a critical component of modern healthcare, providing essential diagnostic information that guides medical decisions and patient care. However, radiology errors can have serious consequences, including patient harm and malpractice claims.

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Utilizing Search Patterns to Minimize Radiology Errors, Mitigate Malpractice Risk, and Improve Patient Care (Kerala, Ernakulam, Kannur, Kollam, Kozhikode, Palakkad, Thiruvananthapuram, Wayanad)

Future Teleradiology

To enhance diagnostic accuracy, reduce malpractice risk, and provide the highest level of patient care, radiologists employ search patterns in their image interpretation processes. Understanding Search Patterns in Radiology: Search patterns are systematic, methodical approaches that radiologists use when analyzing medical images.