Artificial Intelligence Medical Compendium

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

Showing 35,921 to 35,930 of 223,137 articles

Comparing barriers to employee assistance program utilization in Canada and the United States using natural language processing and machine learning.

PLOS mental health Apr 3, 2026
Employee Assistance Program (EAP)s provide critical mental health support, yet utilization remains low in both Canada and the United States. Although qualitative studies have examined general barriers to EAP use, few have compared country-specific pe... read more 

Utilizing the transformer mechanism to predict cervical lymph node metastasis in patients with papillary thyroid carcinoma.

PloS one Apr 3, 2026
RATIONALE AND OBJECTIVE: The status of cervical lymph node metastasis(LNM) in Papillary thyroid carcinoma(PTC) can affect the patient's treatment plan and prognosis. This study aims to develop and validate the application value of Vision transformer ... read more 

Comparative evaluation of machine learning models for predicting Cimbex quadrimaculata population density across multiple problem formulations.

PloS one Apr 3, 2026
The high variability and nonlinear relationships between environmental variables (such as temperature, relative humidity, and altitude) in ecological datasets prevent classical statistical models from obtaining accurate predictions. This study aimed ... read more 

Exploring neural manifolds across a wide range of intrinsic dimensions.

PLoS computational biology Apr 3, 2026
The rapid surge in the number of simultaneously recorded neurons demands reliable tools to explore the latent geometry of high-dimensional neural spaces. Within such spaces, neuronal activity typically lies on a subspace or manifold characterized by ... read more 

Diffusion-synthesized Chest X-rays improve fairness and diagnostic performance.

PLOS digital health Apr 3, 2026
Deep learning models have been widely applied to chest X-ray (CXR) disease classification and diagnosis; however, challenges such as data scarcity and shortcut learning often lead to biased model behavior. This study addresses fairness-related concer... read more 

A robust deep learning approach for impulse noise filtering using hybrid auto-encoder with fuzzy median filter.

PloS one Apr 3, 2026
De-noising convolutional neural networks (DnCNNs), are a powerful nonlinear mapping models in image processing for impulse noise removal. During training and validation, a set of 12 standard testing images is used to evaluate model performance. DnCNN... read more 

EfficientNet-driven deep learning for accurate detection of faults in photovoltaic cells.

PloS one Apr 3, 2026
The global transition to renewable energy resources has driven the need for potent international practice attention on optimized Photovoltaic (PV) system performance, particularly increased PV cell efficiency. Due to environmental conditions and manu... read more 

Using Generative Artificial Intelligence (GenAI) to Co-Design Digital Health Technologies: Some Lessons Learned.

Computers, informatics, nursing : CIN Apr 3, 2026
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IOTA Tangle-based traceability framework for wheat crop supply chain.

PloS one Apr 3, 2026
Distributed ledger technology (DLT) has emerged as a transformative solution across industries, offering decentralization, transparency, and security. Among DLT architectures, IOTA's Tangle stands out as a scalable, feeless framework well-suited for ... read more 

UltraStyle: Best of both worlds in style and content for style transfer.

PloS one Apr 3, 2026
Achieving an ideal balance between style fidelity and content preservation remains a critical challenge in style transfer. In this work, we present UltraStyle, a new framework that reconciles these two objectives through a reformulation of the learni... read more 
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