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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Carlo Serra

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Sep 2026

Surgical Site Infections After External Ventricular Drain Placement: Incidence, Patient-Related, and Periprocedural Risk Factors

BACKGROUND AND OBJECTIVES: External ventricular drain (EVD) placement is a routine neurosurgical procedure for cerebrospinal fluid (CSF) diversion. Despite standardized procedures, a considerable risk of infection remains. While CSF EVD-related infections (EVD-RI) are common and have been extensively studied, surgical...

A. Alakmeh, D. de Wilde, V. Stumpo et al. · 0 citations
Open access Aug 2026

External validation of a machine learning-based web application for personalized testing of objective functioning using the five-repetition sit-to-stand test

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. · 0 citations
Open access Oct 2026

A standardized and reproducible pipeline for fast multi-view digitally reconstructed radiograph (DRR) generation

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. · 0 citations
Open access Aug 2026

Fully Automated Segmentation of Anatomical Subregions of the Thoracolumbar Spine on Computed Tomography.

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. · 0 citations
Review Open access Aug 2026

Evaluation metrics for synthetic medical imaging.

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. · 0 citations
Open access Aug 2026

Automated deep learning-based segmentation and volumetric analysis of meningiomas.

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. · 0 citations

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