Artificial Intelligence Medical Compendium

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

Showing 17,771 to 17,780 of 214,033 articles

Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques.

PloS one May 15, 2026
This study develops predictive models for the uniaxial compressive strength (UCS) and elasticity modulus (E) of sandstones by integrating statistical analyses with artificial intelligence (AI) techniques. Comprehensive laboratory tests were performed... read more 

Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models.

Journal of the American Chemical Society May 15, 2026
Carbonyl-olefin metathesis (COM) has emerged as a powerful yet mechanistically complex transformation for forging carbon-carbon bonds. Although diverse Brønsted and Lewis acid catalysts enable COM reactivity, predicting which catalyst will be effecti... read more 

Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.

PloS one May 15, 2026
As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device verification, controlling access, and spotting threats is growing sharply. This paper presents the d... read more 

Multivariate control based on recurrent wavelet neural network for wastewater treatment process.

PloS one May 15, 2026
The wastewater treatment process (WWTP), including multiple biochemical reactions, is a coupled and dynamic process. Thus, it is a challenge to achieve precise control of the WWTP. In order to address this issue, the self-organizing recurrent wavelet... read more 

Deep learning-based bimodal speech and facial expression recognition of miners' unsafe emotions.

PloS one May 15, 2026
Under the influence of unsafe emotions, miners' ability to perceive risks is hindered, which can easily lead to decision-making errors and safety accidents. To recognize unsafe emotions exhibited by miners during operations, this study proposes a dee... read more 

An Entity-Based Visual Analytics System Enhancing Medical Expertise Acquisition: Development and Verification Study.

JMIR medical informatics May 15, 2026
BACKGROUND: Acquiring medical expertise from the vast body of medical text is a critical component of medical education. However, the majority of medical knowledge resides in unstructured texts. Data heterogeneity across institutions and strict priva... read more 

Structure-aware retinal disentanglement reveals the genetic architecture of ocular and systemic diseases.

PLOS digital health May 15, 2026
Deep learning effectively extracts retinal phenotypes but often functions as an entangled black box, obscuring specific genetic mechanisms and hindering clinical interpretability. To resolve this, we present the Unsupervised Ophthalmic Feature Extrac... read more 

RF-SVR-based prediction methodology for metal tube-bending rebound: Handling non-uniformity and limited sample challenges.

PloS one May 15, 2026
This paper explores a prediction algorithm for determining the rebound angle of non-uniform and small-sample tubes. To address the issues of non-uniform and small-sample data, this paper proposes an algorithm based on Random Forest-Support Vector Reg... read more 

Streamlined optical training of large-scale modern deep learning architectures with direct feedback alignment.

Proceedings of the National Academy of Sciences of the United States of America May 15, 2026
Modern deep learning relies nearly exclusively on dedicated electronic hardware accelerators. Photonic approaches, with low consumption and high operation speed, are increasingly considered for inference but, to date, remain mostly limited to relativ... read more 

Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions.

PloS one May 15, 2026
Forecasting customer conversion in bank marketing is challenged by imbalanced class distributions, where scarce minority responses lead to underfitting of true patterns or overfitting of limited instances. Sampling techniques are commonly applied to ... read more 
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