David Stoffel, MD

AI
Radiology AI: Going beyond the algorithm
RapidAI
AI is revolutionizing the way we deliver healthcare, especially in radiology.
May 29, 2024
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Class-action suit filed against insurer for breast imaging charges
The lawsuit alleges Oscar Health Insurance required policyholders to pay deductibles and coinsurance for diagnostic breast imaging in violation of Texas law.
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Womens Imaging
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CT
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Clinical workflow with Clairity Breast. Graphic courtesy of Clairity.
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Clairity deploys AI for breast cancer risk prediction
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MRI radiomics helps predict liver cancer treatment response
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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.
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