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Deep-learning model predicts bone density on chest x-rays

AuntMinnie

. | M4-SSMK03-4 | Room E450A A deep-learning AI model will be presented in this session that can predict bone mineral density T-scores from chest x-rays. They then trained the algorithm on a data set of 47,150 x-rays (23,151 patients) and validated it on an external data set of 2,914 radiographs (1,515 patients).

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Gleamer acquires Pixyl, Caerus Medical

AuntMinnie

The acquisitions of the two firms add MRI to Gleamers portfolio of radiology applications covering x-ray, mammography, and CT, giving the firm a suite of AI-based tools for all core imaging modalities, the company said. Financial and other details of the acquisitions were not disclosed. Food and Drug Administration (FDA).

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AI-Powered Medical Device Helps Radiologists Detect Lung Nodules in Chest X-Rays

MedImaging Radiography

An AI-powered medical device employs sophisticated computer vision technology to identify lung nodules and masses in chest X-rays, aiding clinicians in early lung cancer detection.

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FDA issues guidance on scanning interference with implanted medical devices

AuntMinnie

Despite reported issues with CT scanning interfering with certain medical devices, the U.S. Food and Drug Administration (FDA) has said CT is still the preferred imaging modality for patients with medical devices. CT is safer than magnetic resonance imaging (MRI) for people with devices of unknown MRI safety status."

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FDA analysis affirms use of computational models in imaging trials

AuntMinnie

In silico imaging trials represent a viable source of regulatory evidence for imaging device evaluation, according to an analysis conducted by the U.S. Then, FFDM and DBT images were simulated using a physics-based Monte Carlo x-ray transport code. a clinician model). Read the full paper here.

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High-precision Superimposition of X-ray Fluoroscopic Images and 3D CT Data

Imaging Technology

milla1cf Wed, 12/13/2023 - 10:50 December 13, 2023 — The X-ray fluoroscopy machine is a medical device frequently used in orthopedic surgery. Despite its imaging capabilities, physicians heavily rely on their experience and knowledge to align the 3D shape of the target area using the 2D X-ray image.

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Can ‘normal filtering’ AI save radiologists time?

AuntMinnie

AI algorithms appear to have clinical value based on detecting normal x-rays – that is, by flagging chest x-rays as normal versus abnormal, they may reduce reading times for radiologists, according to research presented recently at the RSNA meeting in Chicago.

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