Sep 2026· Annals of Biomedical Engineering· 0 citations· 47 references
Medicine
TL;DR
In a reproducible dual-stream benchmark, XAI improved discrimination over conventional inference by capturing clinically contextualized, complex nonlinear predictive dependencies and interactions associated with cranial and spinal surgical risk in achondroplasia using preoperative variables.
BACKGROUND
Craniosynostosis, characterized by premature fusion of cranial sutures, disrupts normal skull growth and may lead to neurological and functional complications. Despite advances in surgery, planning remains largely experience-based due to limited patient-specific predictive tools.
METHODS
A PRISMA-compliant...
Ashwag Alsedran, N. A. Abdullah, N. A. Mohamed et al.· Journal of cranio-maxillo-fa...· 0 citations
Accurate detection of pediatric supracondylar humerus fractures remains a diagnostic challenge in emergency settings. To address this, we developed and validated a transfer-learning model, benchmarking its performance against board-certified emergency physicians. A retrospective dataset of 1440 anonymized pediatric elb...
Yaşar Samet Gokçeoğlu, M. Darılmaz, Ömer Levent Karadamar et al.· Journal of pediatric orthope...· 0 citations
This study evaluated three large multimodal models (LMMs), GPT-5.2, Gemini 3 Pro, and Claude Opus 4.5, on 252 intracranial and spinal neuroradiology cases from the paywall-protected RSNA Case Collection using a two-stage paradigm comparing open-ended generative reasoning with multiple-choice discriminative recognitio...
Alaeddin Acar, Bahadır Kaya, Diaa Yahya et al.· npj Digital Medicine· 0 citations
This review highlights the emerging role of time-resolved (“4D”) approaches in postmortem imaging, demonstrating how integrating temporal information can enhance reconstruction of injury mechanisms, postmortem processes, and medicolegal interpretation, thereby expanding forensic radiology beyond static documentation to...
Catalin George Iacoban, Shayan Alvansazyazdi, C. Parodi et al.· European Radiology Experimen...· 0 citations
YOLOv11 Nano provided the first multiclass deep learning framework for pediatric SCF Gartland subtype classification with strong diagnostic performance and CNN-based algorithms showed numerically higher specificity than the single included radiomics study, though this comparison warrants caution.
Diabetic oculomotor nerve palsy (DONP) mainly manifests as ptosis and diplopia, but limited literature quantitatively assesses its severity. This study analyzed risk factors for severe DONP occurrence, constructed a predictive model, and validated its efficacy. Retrospective analysis was conducted on 180 DONP patients...
Tian-Xiang Cao, Xue-Mei Li, Zhao-Wen Xue et al.· Journal of clinical neurosci...· 0 citations
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