Artificial Intelligence Medical Compendium

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

Showing 35,661 to 35,670 of 222,841 articles

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 

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 

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 

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 

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 

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 

Machine learning-assisted discovery of outside-in structure Ni-rich cathode with high performance.

Science advances Apr 3, 2026
Ni-rich oxides have emerged as leading cathode candidates for lithium-ion batteries because of high specific energy, lower cost, and improved sustainability compared to cobalt-based materials. However, Ni-rich cathodes suffer from voltage and capacit... read more 

Global mapping of disaggregated international trade-linked transportation CO2 emissions.

Science advances Apr 3, 2026
A comprehensive understanding of international trade-linked transportation CO2 emissions is essential for achieving net-zero emission goals. However, the current simplified representation of transportation patterns obscures the heterogeneity of these... read more 

Identifying researcher characteristics driving growth in Japanese University-originated deep-tech startups: A machine learning approach.

PloS one Apr 3, 2026
Active involvement of researchers with strong outputs is essential for growth of deep-tech university-originated startups. We used the University-Originated Venture Database to link total funding amount with researchers' publication metrics and KAKEN... read more 

AI for Simulation Operations: A Framework for Administrative and Logistical Excellence.

Simulation in healthcare : journal of the Society for Simulation in Healthcare Apr 3, 2026
Healthcare simulation centers collect extensive operational, educational, and experiential data, yet much of this information is often underutilized beyond accreditation reporting. The authors introduce the CORE Analytics Framework-Compliance, Operat... read more 
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