AJ Watson[email protected]PACS/VNAThe cloud for healthcare providers: One size does not fit allIn a new column, AJ Watson of Intelerad Medical Systems discusses the merits of a hybrid approach to cloud computing for medical image management.July 23, 2023AIWhat's next for AI regulations in medical imaging?The U.S. Food and Drug Administration continues to consider its approach to regulating artificial intelligence (AI) software. AJ Watson of Intelerad Medical Systems makes the case for flexible and adaptable regulation of the technology.September 26, 2022Page 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)
