Artificial Intelligence Medical Compendium

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

Showing 17,511 to 17,520 of 213,726 articles

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 

A curated dataset and lightweight deep learning framework for tea leaf disease classification.

PloS one May 15, 2026
Tea (Camellia sinensis) is the world's second most consumed beverage, enjoyed daily by more than two billion people. In Bangladesh, it serves as a cornerstone agricultural export and a major sector of the domestic economy. However, commercial tea cul... read more 

AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney.

Journal of proteome research May 15, 2026
Identification of tissue-region-specific changes in glycosylation is crucial for understanding the pathogenesis of kidney diseases, yet it remains a great challenge. We developed a workflow that combines matrix-assisted laser desorption/ionization ma... read more 

Artificial intelligence in cardiovascular medicine: nothing will be as it was.

European heart journal May 15, 2026
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Real-time spectral interferometry analysis of multi-soliton dynamics based on an unsupervised physical information embedding neural network.

Optics letters May 15, 2026
The real-time characterization of soliton interaction parameters is of great significance for improving the performance of passively mode-locked fiber lasers and exploring the general laws of dissipative nonlinear systems. Currently, the extraction o... read more 

Direct neural prediction of freeform illumination optics.

Optics letters May 15, 2026
Designing freeform optics for extended light sources remains a challenge in illumination design, since conventional design methods for zero-étendue sources are difficult to extend to general, finite-étendue sources. As an alternative to these convent... read more 
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