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Eric Barnes
Nov 24, 2000
Leadinsmall
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Latest in Digital X-Ray
Emergency2
Are x-rays of lacerations necessary?
June 17, 2025
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Lunit AI used in Saudi Arabia during 2025 Hajj season
June 16, 2025
Sponsored by Samsung Healthcare
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Sponsored by Samsung Healthcare
July 1, 2025
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AI model saves time in live radiology clinical practice setting
June 5, 2025
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Are x-rays of lacerations necessary?
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A study supports a shift toward more selective imaging criteria for x-rays of lacerations.
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The pilgrimage took place from June 4 to 9 and drew more than 1.5 million people.
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Statins have little benefit for bone health in DEXA study
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Bone scans over time show little benefit of statin use on bone mineral density.
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KA Imaging secures Hong Kong contract
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KA Imaging has secured a contract with Canossa Hospital in Hong Kong to provide its Reveal 35C portable dual-energy x-ray detector.
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German researchers tout U-Net for pixel-level lung thickness maps
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The deep-learning model may be helpful for diagnosing and preventing the progression of pulmonary diseases during routine chest x-ray screenings.
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Qualitative results of eight frontal chest radiographs from the synthetic public test set, where each column represents one participant. Participants one through four are from the Luna16 test set, and participants five through eight are from the pulmonary embolism test set. (A) Simulated input radiographs, (B) predicted thickness maps, (C) reference standard thickness maps, and (D) absolute difference between the reference standard and predicted maps. The color bars for B and C indicate lung thickness in millimeters (mm). The color bar for D indicates the pixel-level estimation error in mm.
Sedecal hit with FDA warning letter
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Lunit updates chest x-ray software, secures CE mark
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Lunit has updated its AI chest x-ray software, as well as secured the CE mark in Europe.
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Carestream Health launches DR data analytics dashboard in U.S.
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The dashboard analyzes data from connected Carestream Digital Radiography (DR) systems.
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Philips launches study for ultralow x-ray dose technology
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LLMs may boost error detection in x-ray reports
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Fine-tuned large language models (LLMs) may enhance error detection in radiology reports, a study suggests.
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