Simple generalized thresholds for assessing functional impairment in clinical testing are limited, as they fail to consider patient-specific properties such as age, body height, and body mass index. A previously developed machine learning-based model for personalized testing using the five-repetition sit-to-stand (5R-S...
Kenneth Arockia, Massimo Bottini, A. Klukowska et al.· Acta Neurochirurgica· 0 citations
Digitally reconstructed radiographs (DRRs) are synthetic projections derived from computed tomography (CT) data and are increasingly used in 3D synthetic image generation. However, variability in preprocessing and projection frameworks limits reproducibility and comparability across studies. We present a standardized p...
Massimo Bottini, Istiak Khan, Olivier Zanier et al.· Scientific Reports· 0 citations
BACKGROUND
To identify the clinical timepoint of World Federation of Neurosurgical Societies (WFNS) grading that provides the highest prognostic accuracy for short- and long-term outcomes in aneurysmal subarachnoid hemorrhage (aSAH).
METHODS
In this cohort study of 389 patients, WFNS grades were recorded at first med...
Sebastian L Wyss, J. Fierstra, V. Staartjes et al.· Neurocritical Care· 0 citations
This work aims to train a multiclass vertebral subregion segmentation model with different model architectures, using a standard nnU-Net, a nnU-Net with residual encoder, and a shifted window U-Net transformer for semantic segmentation of thoracolumbar spine CTs.
Raffaele Da Mutten, Sven Theiler, Massimo Bottini et al.· Journal of imaging informati...· 0 citations
Evaluation strategies for synthetic medical imaging showed substantial variability and no single metric captured fidelity, realism, diversity, and clinical validity simultaneously, suggesting a task-specific, layered evaluation framework could improve comparability and facilitate clinical adoption.
D. de Wilde, Benjamin Schärli, Kym Ackermann et al.· European Journal of Radiolog...· 0 citations
The deep learning model demonstrated high accuracy in segmenting meningiomas and modest performance for peritumoral edema on preoperative magnetic resonance imaging (MRI) scans, support the potential utility of automated segmentation tools in clinical workflows.
D. de Wilde, Olivier Zanier, A. Alakmeh et al.· Neuroradiology· 0 citations
ABSTRACT Background Preclinical spine research is limited by heterogeneous experimental reporting, fragmented documentation, and barriers to reproducibility and translational alignment. Large language models (LLMs) and related artificial intelligence (AI) technologies may support semantic interpretation, structured dat...
Siegmund Lang, Stefan Motov, J. Krueckel et al.· JOR Spine· 0 citations
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