Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,671 to 35,680 of 222,841 articles

An enhanced framework for Parkinson's disease severity prediction using improved optimization in multi-scale TCN.

Computational biology and chemistry Apr 3, 2026
RESEARCH BACKGROUND: Parkinson's Disease (PD) requires accurate severity prediction models for enabling efficient treatment planning and disease management. The recent improvements in deep learning have shown promising results while predicting PD sev... read more 

FA-Mamba: frequency attention driven Mamba for multimodal remote sensing classification.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2026
Multimodal remote sensing classification plays a vital role in areas such as resource exploration and disaster monitoring. However, noise and redundancy across different modalities often hinder effective feature fusion. Existing approaches mainly rel... read more 

High-resolution image deraining via dual-branch features interaction and fusion.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2026
Existing image deraining methods primarily focus on low-resolution images and exhibit inherent limitations when applied to high-resolution images. First, performing feature extraction directly on high-resolution images leads to a significant increase... read more 

A noise-resilient distributed recurrent neural network for multi-agent consensus control and acoustic source localization.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2026
In multi-agent systems (MASs), consensus control and acoustic source localization are fundamental yet noise-sensitive tasks. While recurrent neural networks (RNNs) have shown strong potential in these domains due to their dynamic modeling capabilitie... read more 

Performance evaluation of quantum support vector machine for COVID-19 biomarker analysis.

Computer methods and programs in biomedicine Apr 3, 2026
BACKGROUND AND OBJECTIVE: Identifying key biomarkers from multi-omics data is essential for advancing COVID-19 diagnosis and understanding disease mechanisms. Quantum machine learning approaches, particularly the quantum support vector machine, offer... read more 

Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

iScience Apr 3, 2026
Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs), and risk may vary by multimorbidity and concomitant medications. Using Hong Kong electronic health records, we followed 26,274 MACE-free adults (18... read more 

Clinical implementation of 3D deep learning techniques in predicting touch-up lesions for atrial fibrillation patients undergoing cryoablation.

International journal of cardiology. Heart & vasculature Apr 3, 2026
BACKGROUND: Atrial fibrillation (AF) is a common heart rhythm disorder that can be treated with cryoballoon ablation (CBA). CBA occasionally requires additional radiofrequency-based touch-up ablation due to anatomical challenges. This study developed... read more 

Presence hallucination induction through robotically mediated somatomotor conflicts: A pooled analysis of 25 experiments.

Cortex; a journal devoted to the study of the nervous system and behavior Apr 3, 2026
Hallucinations are significant symptoms in psychiatric and neurodegenerative diseases, that may indicate advanced disease progression or worse disease forms. They are also frequent in healthy individuals, especially elderly or bereaved. Despite their... read more 

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

Journal of infection and public health Apr 3, 2026
BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical manifestations and the lack of objective diagnostic criteria, the identification and prediction of ... read more 

A hierarchical prompt and prototype learning framework for brain disorder classification.

Medical image analysis Apr 3, 2026
Accurate diagnosis of brain disorders (BDs) is challenging in clinical practice. Most existing deep learning-based methods perform diagnosis only in a one-step manner, ignoring the step-wise, multi-level diagnosis processes as performed by radiologis... read more 
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