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HPI: Almost a third of image interpretation done by nonradiologists

AuntMinnie

Market share of radiologist imaging study interpretations by modality, body area, and place of service Modality Cardiac studies Noncardiac studies Hospital setting Office setting CT 67.6% Nuclear medicine 11.8% Ultrasound 0.4% X-ray -- -- 97.9%

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Mimicking human vision: The new standard for medical image fidelity

AuntMinnie

Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. For instance, the global medical imaging AI market 1 is projected to expand eightfold by 2030, reaching an estimated $8.18 Ravinder Singh.

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Radiologists less susceptible to visual illusions

AuntMinnie

Medical image experts demonstrated superior perceptual accuracy in response to visual illusions compared with a control group, according to recent research. and colleagues. Participants were presented with the Ebbinghaus, Ponzo, Mller-Lyer, and Shepard Tabletops visual illusions via forced-choice tasks. Experts had mean scores of 0.49

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Can LLMs help improve oncologic imaging interpretation?

AuntMinnie

An LLM enabled accurate automated clinical histories for oncologic imaging from clinical notes, the authors wrote. Compared with original requisition histories, LLM-generated histories were more complete and were preferred by radiologists for imaging interpretation and perceived safety.

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ChatGPT-4 accurately interprets thyroid, renal ultrasound images

AuntMinnie

“This technology, if implemented in clinical practice, will have great potential in enhancing medical image interpretation and healthcare outcomes.” AI algorithms, meanwhile, aim to aid radiologists and other medical practitioners who use ultrasound in image interpretation and lessen workloads.

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Can ChatGPT-4 accurately interpret thyroid, renal ultrasound images?

AuntMinnie

“This technology, if implemented in clinical practice, will have great potential in enhancing medical image interpretation and healthcare outcomes.” AI algorithms, meanwhile, aim to aid radiologists and other medical practitioners who use ultrasound in image interpretation and lessen workloads.

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How imaging AI developers can avoid pitfalls when testing algorithms

AuntMinnie

AI developers can recognize and avoid pitfalls when creating models and tools for interpretative imaging performance, according to an analysis published July 24 in the American Journal of Roentgenology. Interpretive AI tools are poised to change the future of radiology,” Tabatabaei and colleagues wrote.

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