Swante Welander, Peter Rönnquist, and Hans Norberg[email protected]Image ProcessingNew processors bring greater speed to medical imaging industryIn personal computers, quad-core microprocessors and graphics processors allow the user to view graphics with extreme detail. The gaming industry has embraced this technology, and an entire generation of teenagers has driven the development of advanced computer games. Now, the medical imaging industry has discovered that it can leverage the high-speed computation technology to advance medical imaging.June 11, 2009Page 1 of 1Top StoriesMRIMRI-guided brain stimulation improves PTSD recovery in veteransA study suggests that navigated transcranial magnetic stimulation can be a helpful addition to behavioral therapy for PTSD.Molecular ImagingNew method decouples Alzheimer's disease pathology at PETDigital X-RayAI estimates children’s bone density on chest x-raysMRIMRI 'fingerprinting' technique characterizes prostate lesionsSponsor ContentModernizing Radiotherapy Workflows
![Representative example of a 16-year-old male patient with underlying X-linked adrenoleukodystrophy. (A, B) Paired anteroposterior (AP) chest radiograph and dual-energy x-ray absorptiometry (DXA) report shows lumbar spine (L1 through L4) areal bone mineral density (BMD). The DXA report was reformatted for anonymization and improved readability. The patient had low BMD (Z score ≤ −2.0). (C) Model (chest radiography [CXR]–BMD) output shows the predicted raw BMD and Z score in comparison with the DXA reference standard, together with interpretability analyses using Shapley additive explanations (SHAP) and gradient-weighted class activation maps. The patient was classified as having low BMD, consistent with the reference standard. AM = age-matched, DEXA = dual-energy x-ray absorptiometry, RM2 = room 2, SNUH = Seoul National University Hospital, YA = young adult.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-children-bone-density.0snnf2EJjr.jpg?auto=format%2Ccompress&fit=crop&h=167&q=70&w=250)
![Representative example of a 16-year-old male patient with underlying X-linked adrenoleukodystrophy. (A, B) Paired anteroposterior (AP) chest radiograph and dual-energy x-ray absorptiometry (DXA) report shows lumbar spine (L1 through L4) areal bone mineral density (BMD). The DXA report was reformatted for anonymization and improved readability. The patient had low BMD (Z score ≤ −2.0). (C) Model (chest radiography [CXR]–BMD) output shows the predicted raw BMD and Z score in comparison with the DXA reference standard, together with interpretability analyses using Shapley additive explanations (SHAP) and gradient-weighted class activation maps. The patient was classified as having low BMD, consistent with the reference standard. AM = age-matched, DEXA = dual-energy x-ray absorptiometry, RM2 = room 2, SNUH = Seoul National University Hospital, YA = young adult.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/04/ai-children-bone-density.0snnf2EJjr.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
