From Lab to Clinic: Mapping the Long Road for Deep Learning in Medical Imaging
A comprehensive new review maps the technical, regulatory, and ethical barriers separating deep learning breakthroughs in medical imaging from safe ...
A comprehensive new review maps the technical, regulatory, and ethical barriers separating deep learning breakthroughs in medical imaging from safe ...
The journal Pediatric Radiology has published a concise, image-driven contribution titled Hermes, indexed online on 22 September 2026 under the ...
A Mayo Clinic study shows that deep and superficial endometriosis lesions both express fibroblast activation protein, including lesions poorly visible ...
A new MRI technique combining diffusion and perfusion measurements accurately identifies invasive placenta accreta spectrum and predicts dangerous clinical outcomes ...
A prospective study finds that 100 keV virtual monoenergetic images from dual-layer spectral CT match invasive coronary angiography in measuring ...
A prospective study of 124 patients found that a deep learning reconstruction technique called DEPICTA can complete a multi-contrast brain ...
An AI system called Green-AttGRU automatically classifies cystocele severity on dynamic transperineal ultrasound and improved radiologists' accuracy, agreement, and speed ...
Researchers in China have built and validated a predictive model that combines dual-energy CT spectral parameters with clinical indicators to ...
Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining ...
New research shows that artificial intelligence-derived 3D imaging features, particularly tumor-renal sinus contact area, can predict treatment failure after cryoablation ...
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© 2025 Scienmag - Science Magazine