Artificial Intelligence Medical Compendium

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

Showing 19,831 to 19,840 of 215,899 articles

Neural Motion Path: a Path-based Authoring System for Pre-rendered Character Animation.

IEEE transactions on visualization and computer graphics May 13, 2026
Authoring high-quality character animation is essential in multimedia production, especially for pre-rendered formats such as films and TV series. These workflows are often iterative, requiring frequent adjustments and immediate visual feedback, and ... read more 

Multiscale Spatial Frequency-Aware Transformer and Saturation Analysis for Universal Deepfake Detection.

IEEE transactions on cybernetics May 13, 2026
The rapid advancement of generative artificial intelligence technologies has introduced new security challenges, raising significant concerns. As deepfake technology becomes more sophisticated, it might be exploited by malicious actors to generate hi... read more 

Fast BCIs: Leveraging Dual-Scale Time Windows with Test-Time Adaptation to Enhance Accuracy.

IEEE transactions on bio-medical engineering May 13, 2026
Brain-computer interfaces (BCIs) must deliver outputs rapidly in numerous practical applications. However, the decoding accuracy may decline significantly when the time window (TW) is too short, a challenge exacerbated by the increasing adoption of d... read more 

Hand Gesture Intention Detection Using sEMG and Transfer Learning in Stroke Survivors.

IEEE journal of biomedical and health informatics May 13, 2026
Surface electromyography (sEMG) has shown potential for intuitive control of wearable assistive technologies in individuals with motor impairments. However, accurately classifying sEMG signals in stroke patients, particularly those with severe impair... read more 

BrainPrompt+: Multi-Level Brain Prompt Learning for Knowledge-Guided Neurological Disorder Identification.

IEEE transactions on medical imaging May 13, 2026
Accurate identification of neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Autism Spectrum Disorder (ASD) is challenging due to subtle early-stage symptoms and heterogeneous brain dynamics. Resting-state functio... read more 

Bioinformatics approach to identify potential biomarker and drug target for the clinical and subclinical mastitis disease in dairy cattle.

PloS one May 13, 2026
Mastitis in dairy cattle is a serious issue that affects not just the animals but also has broad social, cultural, economic, and human consequences. It does in a wide variety of ways and the most remarkable of which are reduced milk yield and produce... read more 

Integrative bioinformatic analysis prioritizes TIMP1 and FN1 as angiogenesis-related candidate genes in diabetic foot ulcers.

PloS one May 13, 2026
BACKGROUND: Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound healing, accompanied by defective angiogenesis, chronic inflammation, and dysregulated extracellular m... read more 

Decoding (digital) histopathology: The building blocks for computational researchers.

PLOS digital health May 13, 2026
Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis. Nevertheless, combining the insights from both disciplines remains challenging,... read more 

Deep-learning time-series anomaly detection of acute kidney injury from creatinine-eGFR trajectories in the ICU.

PLOS digital health May 13, 2026
Acute kidney injury (AKI) is common in the intensive care unit (ICU), and fixed creatinine thresholds may miss clinically relevant dynamics. We tested whether a deep-learning anomaly signal from short creatinine-estimated glomerular filtration rate (... read more 

Classification of soft decision-making methods via fuzzy parameterized fuzzy soft matrices and their performance-based statistical analysis in machine learning.

PloS one May 13, 2026
This study provides a comprehensive evaluation and classification of 35 soft decision-making (SDM) algorithms based on fuzzy parameterized fuzzy soft matrices (fpfs-matrices). Although fpfs-matrices offer a strong mathematical framework for modeling ... read more 
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