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AI functions in x-ray systems may save radiographers time

AuntMinnie

Intelligent virtual and AI-based collimation features appear to save radiographers time during x-ray image acquisitions – a key function for enabling more patient-focused workflows, according to a recent study. To that end, the researchers conducted an observational study at five clinical sites in Europe and the U.S.

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Julianna Czum talks AI chest radiograph study with AuntMinnie.com

AuntMinnie

million chest radiographs. The team reported that the algorithm could successfully triage pairs of chest radiographs showing no change while detecting urgent interval changes during longitudinal follow-up. Julianna Czum, MD, from Johns Hopkins University wrote an editorial accompanying the study.

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Generative AI model validated in chest x-ray study

AuntMinnie

The results of our study demonstrated that preliminary reports created by a multimodal generative AI model could aid radiologists in chest radiograph interpretation in terms of reading time, report quality, and accuracy, noted lead author Eun Kyoung Hong, MD, of Mass General Brigham in Boston.

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What's best practice for using AI for thoracic imaging?

AuntMinnie

AI for thoracic imaging includes using it for reading chest radiographs and low-dose chest CT scans for lung cancer screening and for triaging pulmonary embolism on chest CT scans, the group noted. These LLMs offer opportunities ranging from generating text reports from images to explaining examination results to patients."

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Moore’s Law for radiologists

AuntMinnie

Some of my radiological heroes would report a staggering 30,000 to 40,000 radiographs a year. Some even [startled gasp] gave up reporting plain radiographs. And they did this alarming juggling act for hour after hour, day after day, demolishing huge piles of film packets. I still don’t know how they did it.

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Is AI ready to replace human readings in TB detection?

AuntMinnie

. | S1-SSCH01-5 | E451A This scientific paper may increase overall confidence in the potential of using multimodal AI for tuberculosis (TB) detection, and potentially autonomous reporting, on chest radiographs in certain clinical settings. Stop by the session with your questions.

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Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

These included chest radiographs that displayed abnormalities of no clinical significance, which are typically treated as normal. In addition, a thoracic radiologist graded the missed findings by AI and/or the radiology reports as critical, clinically significant, or clinically insignificant.

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