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AI model predicts 10-year breast cancer risk
A mammography-based AI model showed strong performance in predicting 10-year breast cancer risk over clinical and other AI models.
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Professor Frank K. Wacker, Director of Radiology at Hannover Medical School, DeGIR President, and DRG President-elect, at the DeGIR Campus at the 107th German Radiology Congress in Leipzig.
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Cropped secondary capture examples. These are illustrative and not intended to imply superiority or inferiority of any device. (A) Posteroanterior radiograph in a 46-year-old female patient. The device correctly identified a right lower lobe nodule projected below the right hemidiaphragm and hilar lymphadenopathy. (B) Posteroanterior radiograph in an 86-year-old female patient with a classic Golden S sign highly suggestive of cancer. Three devices did not identify any findings. (C) The output from one device for the same radiograph as in B. The device placed a contour around the area of abnormality but mislabeled it as segmental collapse, and there are no other elements in the output to raise suspicion of cancer. (D) Posteroanterior radiograph in a 60-year-old male patient -- a case of confirmed lung cancer that was not deemed visible in retrospect. The device identified multiple false-positive abnormalities. (E) Posteroanterior radiograph in a 77-year-old female patient with two right lower lobe nodules. The device mislabeled the abnormality as infection -- a diagnostic term that could incorrectly influence clinical management. (F) Posteroanterior radiograph in a 77-year-old female patient with a right hilar tumor. Most of the lungs have been labeled by the device, with excessive overlap of the abnormality that pragmatically represents an incorrect result. All annotations shown were produced by the devices. LL = lung lesion, LO = lung opacity, PO = pleural other, TBC = tuberculosis.
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AI devices vary widely in lung cancer detection
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Professor Frank K. Wacker, Direktor der Radiologie an der Medizinischen Hochschule Hannover, DeGIR-Präsident und gewählter DRG-Präsident, am DeGIR Campus beim 107. Deutschen Röntgenkongress in Leipzig.
VIDEO RöKo 2026: Frank Wacker über die wachsende Bedeutung der IR
May 20, 2026
Rollenwechsel: Nicolle Becke Franco, Gastgeberin von Inside Imaging – Powered by Bayer, diesmal selbst vor dem Mikro – beim 107. Deutschen Röntgenkongress in Leipzig.
VIDEO RöKo 2026: Nicolle Becke Franco gibt der Radiologie eine Stimme
May 19, 2026
Turning the tables: Nicolle Becke Franco, host of Inside Imaging – Powered by Bayer, steps in front of the mic herself at the 107th German Radiology Congress in Leipzig.
VIDEO RöKo 2026: Nicolle Becke Franco on science communication in radiology
May 19, 2026
Stefan Schaller, Head of Central Western Europe bei Siemens Healthineers, beim 107. Deutschen Röntgenkongress in Leipzig.
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Breast Cancer3
Womens Imaging
AI model predicts 10-year breast cancer risk
Digital X-Ray
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