Artificial Intelligence Medical Compendium

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

Showing 2,001 to 2,010 of 165,462 articles

Image Denoising Using Green Channel Prior.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 30, 2025
Image denoising is an appealing and challenging task, in that noise statistics of real-world observations may vary with local image contents and different image channels. Specifically, the green channel usually has twice the sampling rate in raw data... read more 

Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.

Cancer biotherapy & radiopharmaceuticals Jul 30, 2025
This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cancer (TC) using an integrated multiomics approach. We combined Mendelian randomization (MR) analysis using FinnGen genome-wide association study data, s... read more 

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Scientific reports Jul 30, 2025
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and ti... read more 

A scoping review of artificial intelligence applications in clinical trial risk assessment.

NPJ digital medicine Jul 30, 2025
Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),... read more 

Deep learning neural network of adenocarcinoma detection in effusion cytology.

American journal of clinical pathology Jul 30, 2025
OBJECTIVE: Cytologic examination, which confirms the presence or absence of malignant cells, detects malignant cells from various organs, with adenocarcinoma as the most common histologic type. We developed a deep learning model to detect malignant c... read more 

MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BMC psychiatry Jul 30, 2025
BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessm... read more 
Humans Neural Networks, Computer COVID-19 Female Young Adult Adult Male Middle Aged Convolutional Neural Networks Psychotic Disorders

ProWaste for proactive urban waste management using IoT and machine learning.

Scientific reports Jul 30, 2025
Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled reactively rather than on data-driven forecasts. Overspill, odour, and leachate therefore threaten public health and sustainability targets in rapidly g... read more 

A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning.

IEEE transactions on pattern analysis and machine intelligence Jul 30, 2025
Hypergraph-based modeling has gained significant attention for capturing complex higher-order interactions among vertices. While random walks serve as fundamental tools for analyzing hypergraphs, existing approaches either fail to fully leverage edge... read more 

WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules.

Scientific reports Jul 30, 2025
Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. Early and precise diagnosis is crucial for minimizing the risk of misdiagnosis and for effectively guiding... read more 
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Diagnosis, Differential Pneumonia Radiographic Image Interpretation, Computer-Assisted

Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling.

IEEE transactions on neural networks and learning systems Jul 30, 2025
Accurate decoding in electroencephalography (EEG) technology, particularly for rapid visual stimuli, remains challenging due to the low signal-to-noise ratio (SNR). Additionally, existing neural networks struggle with issues related to generalization... read more 
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