Dr. David Hirschorn[email protected]ISManaging critical results without pulling out your hairIf you're a radiologist, communicating important radiologic findings to referring physicians can be one of the most challenging aspects of your job. Critical test results management software can help, according to Dr. David Hirschorn of Staten Island University Hospital, who describes how it works at his facility.August 27, 2015PACS/VNARegulation should keep health IT safe without slowing innovationThe U.S. Food and Drug Administration's proposal to revise its regulation of mobile medical apps reflects the rapidly changing world of medical software, according to Dr. David Hirschorn, who previews his upcoming presentation at the New York Medical Imaging Informatics Symposium on September 18.September 7, 2014Page 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)
