Nurses on the Front Lines of Medical Imaging Know Surprisingly Little About Radiation, Study Finds
A qualitative study of seventeen nurses in India reveals substantial gaps in radiation safety knowledge, inconsistent patient education, and a ...
A qualitative study of seventeen nurses in India reveals substantial gaps in radiation safety knowledge, inconsistent patient education, and a ...
A French pilot study shows automated quantitative CT analysis can objectively measure lung damage in pulmonary Langerhans cell histiocytosis, matching ...
A multi-center study shows that a deep learning model can detect extramural vascular invasion on rectal cancer MRI with senior-radiologist-level ...
A retrospective Chinese study of 81 patients with hemoptysis found that CT angiography measures bronchial arteries only fractionally larger than ...
A scoping review by Osaka Metropolitan University researchers found that only 77 of 545 studies validating commercial radiology AI products ...
A multicenter study found that a deep learning model analyzing full ultrasound videos significantly improved diagnostic accuracy for suspicious breast ...
A Turkish case-control study reports that shear wave elastography detects MRI-confirmed suprapatellar fat pad edema with excellent diagnostic accuracy, doubling ...
A new multi-task deep learning framework called ApexTransNet segments apical periodontitis lesions and grades radiographic severity on periapical radiographs with ...
A new study finds that AI software can extract reliable bone mineral density measurements from routine non-contrast CT scans, matching ...
A Chinese research team measured ten quantitative CT indices of abdominal fat and geometry in ileocecal Crohn's disease and acute ...
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© 2025 Scienmag - Science Magazine