Artificial Intelligence in Medicine (Canada)

Free-Energy and Position-Dependent Diffusion Profiles Shape Passive Permeation of a Semisynthetic Naphthoquinone across a Model Lipid Bilayer

Abstract Passive membrane permeation depends on both solute partitioning and coordinate-dependent mobility, but their separate and spatial-coupling contributions are rarely quantified within a common resistance framework. CNFD (6b,7-dihydro-5H-cyclopenta[b]naphtho[2,1-d]furan-5,6...

Early Radiographic Changes Predict Radiographic Stability in Distal Radius Fractures: Development and Validation of an Explainable Predictive Model

Purpose To determine whether early radiographic trajectory data can predict the timing of stability in conservatively managed distal radius fractures (DRFs) and to identify which clinical and radiographic features most influence stabilization timing. Methods This retrospective co...

Posture-driven multistage region proposal and fast R-CNN architecture for advanced real-time autonomous vehicle object detection

Accurate and real-time detection of objects is important in the field of autonomous vehicle (AV) safety, but the current detection systems have numerous issues. Conventional Region Proposal Networks (RPNs) do not typically succeed in the technical urban setting with tiny or hidde...

Exact Coordinate-Balancing Calculus and Sharp Stability for Symmetric Lattice Cross-Covariograms

Preprint, Version 1. This manuscript is currently under editorial consideration at a journal.This deposited PDF corresponds in scholarly content to the manuscriptsubmitted to the journal. The deposited PDF was independently compiledand is not asserted to be byte-identical to any...

Exact Coordinate-Balancing Calculus and Sharp Stability for Symmetric Lattice Cross-Covariograms

Preprint, Version 1. This manuscript is currently under editorial consideration at a journal.This deposited PDF corresponds in scholarly content to the manuscriptsubmitted to the journal. The deposited PDF was independently compiledand is not asserted to be byte-identical to any...

Climate change based yield production using hybrid deep learning with optimal feature selection

Accurate agricultural yield prediction under changing climate conditions has become the challenge task due to the increasing variability in environmental factors like temperature fluctuations, irregular rainfall patterns and soil degradation. Traditional statistical and machine l...

Source-Preserving Prompt Augmentation and Category-Adaptive Inference for Qwen3-1.7B: A Prospective Seed-Replication Study

This preprint investigates whether a fixed compound inference intervention can improve the performance of a small language model without updating its parameters. The experimental program compares structured prompt replacement, natural-language rewriting, source-preserving semanti...

Source-Preserving Prompt Augmentation and Category-Adaptive Inference for Qwen3-1.7B: A Prospective Seed-Replication Study

This preprint investigates whether a fixed compound inference intervention can improve the performance of a small language model without updating its parameters. The experimental program compares structured prompt replacement, natural-language rewriting, source-preserving semanti...

MEmilio: a high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics

Abstract Epidemic and pandemic preparedness with rapid outbreak response rely on timely, trustworthy evidence. Mathematical models are crucial for supporting timely and reliable evidence generation for public health decision-making with models spanning approaches from compartment...

Intranigral injection of alpha-synuclein pre-formed fibrils leads to BBB compromise and bilateral dopaminergic neurodegeneration in A53T alpha-synuclein transgenic mice

ABSTRACT Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by alpha-(α)-Synuclein neuronal aggregation and loss of dopaminergic (DA) neurons. Developing animal models that replicate PD’s neuropathological phenotypes is critical for understanding i...

Em-dash and function-word shift in Polish parliamentary interpellations (2015–2025) — frozen analysis package

Frozen analysis package for a preregistered study of the em-dash (U+2014) as a putative marker of LLM-assisted writing in 60,275 Polish parliamentary interpellations, 2015–2025. The registered decision rule was not met: the decisive cell gave a paired conditional p = 0.00214 but...

Hybrid heuristic ant colony optimization algorithm for mobile robot path planning

Purpose Mobile robot path planning is a fundamental task in autonomous navigation. Conventional ant colony optimization (ACO) and some of its variants may exhibit weak search guidance, slow convergence, and redundant initial paths in complex grid environments. This study proposes...

A Non-Invasive Transtympanic Bioadhesive Hydrogel for Sustained Delivery of Dexamethasone in Otitis Media Effusion Therapy

Abstract Otitis media with effusion (OME) is a highly prevalent condition characterized by persistent inflammatory effusion in the middle ear cavity. The clinical management of OME remains challenging due to the anatomical inaccessibility of the middle ear, which limits drug effi...

WPSeg-Net: A Boundary-Guided Dual-Branch Network for Molten Pool Segmentation

The geometric morphology and dynamic evolution of the molten pool are key indicators of heat input, metal transfer, and solidification behavior during welding, making them critical for quality monitoring and process control. To address the challenges of molten pool image segmenta...

Optimizing information retrieval tasks with large language model for data enhancement

Abstract The data science and artificial intelligence, optimizing information retrieval tasks has become crucial for extracting actionable insights from vast amounts of data. The problem is the need for precise query formulation to retrieve relevant data effectively, as LLMs can...

Vectorized SVE2 Optimization of the Post-Quantum Signature ML-DSA on ARMv9-A Architecture

Post-quantum cryptography (PQC) is essential to securing data in the quantum computing era, and standardization efforts led by NIST have driven extensive research on practical and efficient implementations. With the emerging deployment of ARMv9-A processors in mobile and edge dev...

An interpretable frequency-domain matrix rank transformation and time-domain spatial graph attention enhancement network for rolling bearing fault diagnosis under strong noise environment

Extracting weak fault features obscured by environmental noise is a critical challenge. However, existing fault feature enhancement methods ignore the low-rank distribution of feature correlation structures, making it difficult to effectively extract critical fault information. T...

Efficient Techniques for Low-Rank Tensor Approximation and Applications in Robust Object Detection

This paper introduces efficient randomized fixed-precision and single-pass algorithms for low-tubal-rank approximation of third-order tensors. The proposed fixed-precision algorithms are faster and more efficient than the existing algorithms for approximating the truncated tensor...

Machine learning for early prediction of preterm birth

Abstract Background Preterm birth (PTB), defined as delivery before 37 completed weeks of gestation, remains a major cause of neonatal mortality and long-term morbidity worldwide. Conventional risk assessment strategies, including cervical length measurement and biomarker-based s...

Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation

Abstract While OCT is pivotal for macular disease diagnosis, its adoption in primary care is limited by AI systems that cannot simultaneously analyze multi-sectional scans across the full spectrum of maculopathies or generate diagnostically integrated reports. Here we present iOC...