AI Medical Compendium

Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

International journal of nursing studies Feb 20, 2026

BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and lingering cognitive, psychological, and physical impairments collectively described as post-intensive care syndrome. Current recovery frameworks and fol... read more

Transformer-based classification and interpretability of NR3C1 expression patterns in OSCC: Metabolic adaptation insights.

Journal of oral biology and craniofacial research Feb 20, 2026

INTRODUCTION: Oral squamous cell carcinoma (OSCC) involves several oncogenic proteins for survival. Protein sequence classification is a fundamental challenge in computational biology, complicated by the complex, non-linear relationships within seque... read more

A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data.

Data in brief Feb 20, 2026

This article presents a multimodal dataset of Canadian wild rice (Zizania palustris) kernels, combining high-resolution RGB imagery and visible-near-infrared (VNIR) hyperspectral reflectance data for post-harvest quality characterization. The dataset... read more

Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars.

Food research international (Ottawa, Ont.) Feb 20, 2026

The geographical origin of vinegar is becoming increasingly important for food authenticity, yet effective traceability tools remain underdeveloped. This study evaluates the potential of strontium isotopes (87Sr/86Sr) and rare earth elements (REEs) a... read more

Machine learning-enhanced identification of fluorophilic interactions for improved SERS detection of PFOA.

Environmental science. Nano Feb 20, 2026

Per- and polyfluoroalkyl substances (PFASs), such as the legacy C8 compound perfluorooctanoic acid (PFOA), pose significant environmental and health risks due to their persistence and widespread use. While surface-enhanced Raman spectroscopy (SERS) h... read more

A Single Image and Multimodality Is All You Need for Novel View Synthesis

arXiv Feb 20, 2026

Diffusion-based approaches have recently demonstrated strong performance for single-image novel view synthesis by conditioning generative models on geometry inferred from monocular depth estimation. However, in practice, the quality and consistency o... read more

Computer Vision and Pattern Recognition

Interactions that reshape the interfaces of the interacting parties

arXiv Feb 20, 2026

Polynomial functors model systems with interfaces: each polynomial specifies the outputs a system can produce and, for each output, the inputs it accepts. The bicategory $\mathbb{O}\mathbf{rg}$ of dynamic organizations \cite{spivak2021learners} gives... read more

Category Theory cs.LG

ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging

arXiv Feb 20, 2026

Vision Transformers rely on positional embeddings and class tokens that encode fixed spatial priors. While effective for natural images, these priors may hinder generalization when spatial layout is weakly informative or inconsistent, a frequent cond... read more

Computer Vision and Pattern Recognition cs.LG eess.IV

A Geometric Probe of the Accuracy-Robustness Trade-off: Sharp Boundaries in Symmetry-Breaking Dimensional Expansion

arXiv Feb 20, 2026

The trade-off between clean accuracy and adversarial robustness is a pervasive phenomenon in deep learning, yet its geometric origin remains elusive. In this work, we utilize Symmetry-Breaking Dimensional Expansion (SBDE) as a controlled probe to inv... read more

Machine Learning

Improving Generalizability of Hip Fracture Risk Prediction via Domain Adaptation Across Multiple Cohorts

arXiv Feb 20, 2026

Clinical risk prediction models often fail to be generalized across cohorts because underlying data distributions differ by clinical site, region, demographics, and measurement protocols. This limitation is particularly pronounced in hip fracture ris... read more

Machine Learning

Artificial Intelligence Medical Compendium

Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

Transformer-based classification and interpretability of NR3C1 expression patterns in OSCC: Metabolic adaptation insights.

A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data.

Sr isotopes and REEs fingerprints coupled with machine learning for the traceability of cereal vinegars.

Machine learning-enhanced identification of fluorophilic interactions for improved SERS detection of PFOA.

A Single Image and Multimodality Is All You Need for Novel View Synthesis

Interactions that reshape the interfaces of the interacting parties

ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging

A Geometric Probe of the Accuracy-Robustness Trade-off: Sharp Boundaries in Symmetry-Breaking Dimensional Expansion

Improving Generalizability of Hip Fracture Risk Prediction via Domain Adaptation Across Multiple Cohorts

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