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Generative AI model shows promise in chest x-ray study

AuntMinnie

A multimodal generative AI model achieved high diagnostic accuracy and showed clinical value in preliminary reporting of chest x-ray images, according to research published March 25 in Radiology. For training, the team used consecutive radiograph-report pairs from frontal chest x-ray exams collected between 2005 and 2023 from 42 hospitals.

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Journal Scan – This Month in Other Journals, June 2023

AJNR

It has well-defined radiographic features and various clinical presentations. They described six radiographic phenotypes of CSVD: (1) recent small subcortical infarct, (2) white matter hyperintensity, (3) lacune of presumed vascular origin, (4) widened perivascular spaces, (5) cerebral microbleed, and (6) brain atrophy. 3 figures 4.

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Journal Scan – This Month in Other Journals, October 2022

AJNR

Of the patients with radiographically proven adverse radiation effects (AREs; 15%), 4 were symptomatic. J Neurosurg 2022;137(August):533–43 This single-center study included 358 eligible patients with histologically confirmed isocitrate dehydrogenase (IDH)–wild-type GBM from November 1, 2005, to December 31, 2018.

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