AI Medical Compendium

DDTracking: A diffusion model-based deep generative framework with local-global spatiotemporal modeling for diffusion MRI tractography.

Medical image analysis Jan 29, 2026

Diffusion MRI (dMRI) tractography is an advanced technique that uniquely enables in vivo mapping of brain fiber pathways. Traditional methods rely on tissue modeling to estimate fiber orientations for streamline propagation, which are computationally... read more

Spatiotemporal abnormalities in brain networks as a signature of neurological damage in Wilson's disease.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jan 29, 2026

OBJECTIVES: Resting-state electroencephalogram (EEG) microstates serve as dynamic markers of intrinsic brain activity, reflecting the transient coordination of large-scale neural networks. However, their role in Wilson's disease (WD) remains largely ... read more

Feasibility of single-phase DECT as an alternative to triple-phase CT for imaging-defined risk factors assessment in neuroblastoma for dose reduction.

European journal of radiology open Jan 29, 2026

OBJECTIVE: To investigate the feasibility of evaluating Imaging-Defined Risk Factors (IDRFs) in Neuroblastoma (NB) patients using venous-phase (VP)-only images in dual-energy CT for radiation dose reduction and examination workflow optimization, comp... read more

Deep Learning-Based Eye Rubbing Detection Using Wrist-Based Wearable Devices to Enable Rigorous Study of Risk Factors for Ectasia Progression.

Cornea Jan 29, 2026

PURPOSE: To develop and validate an artificial intelligence (AI)-enabled eye rubbing detection tool using sensor data collected from wrist-based wearable devices. METHODS: An automated system was designed to detect eye rubbing using wrist-based weara... read more

Differentially private data augmentation via LLM generation with discriminative and distribution-aligned filtering.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026

Data augmentation (DA) is a widely adopted approach for mitigating data insufficiency. Conducting DA in private domains requires privacy-preserving text generation, including anonymization or perturbation applied to sensitive textual data. The above ... read more

Estimating proximity to muscular failure using surface EMG and deep learning.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Jan 29, 2026

Understanding how close an individual is to muscular failure during exercise can be used to personalize resistance training dynamically. We propose a deep learning approach to estimate proximity to failure in real-time from surface electromyography (... read more

A CT-based radiomics model for classification of chronic pancreatitis: new biomarkers for diagnosis and severity staging.

European journal of radiology Jan 29, 2026

OBJECTIVES: To develop and validate CT-based radiomics models for the identification of chronic pancreatitis (CP) and selected CP-related complications, and to explore associations between radiomics-derived features and clinical measures. MATERIAL & ... read more

First-Trimester Machine Learning to Predict Preeclampsia in Normotensive Pregnancies by American Heart Association Guidelines.

American journal of perinatology Jan 29, 2026

This study aimed to determine whether unsupervised machine learning can identify phenotypically distinct subgroups at increased risk for preeclampsia among pregnant individuals with American Heart Association (AHA)-defined normal blood pressure in th... read more

Self-assembling peptides construct supramolecular materials.

Chemical communications (Cambridge, England) Jan 29, 2026

Programmable peptide self-assembly enables the precise construction of supramolecular materials, establishing it as a defining frontier in nanomaterials research. This review systematically explores the collective contribution of sequence design, sec... read more

Exhaled breath analysis to stratify cardiovascular risk using machine learning model: a novel frontier in preventive cardiology.

Journal of breath research Jan 29, 2026

Despite major progress in diagnosis and treatment, cardiovascular disease (CVD) continues to be the leading cause of death worldwide, responsible for roughly 19.8 million lives lost each year. A key challenge in preventive cardiology is still the ear... read more

Artificial Intelligence Medical Compendium