Artificial Intelligence Medical Compendium

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

Showing 16,631 to 16,640 of 213,633 articles

Modeling context-dependent RNA splicing by deep learning.

Nature computational science May 19, 2026
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HELIX: a scalable model for predicting context-dependent regulation of RNA splicing and isoform usage.

Nature computational science May 19, 2026
Context-dependent alternative splicing plays a critical role in disease pathogenesis and organ development, but its complex regulation remains challenging to predict. Here, to address this, we developed HELIX, a hierarchical deep learning framework t... read more 

Layer-specific feature preference in a trained AlexNet model revealed by stylized image analysis.

Scientific reports May 19, 2026
Deep convolutional neural networks (DCNNs) achieve high object classification performance; however, how representational preferences systematically evolve across hierarchical layers remains unclear. Although previous studies using stylized images hav... read more 

NPINN+: an enhanced physics-informed neural network for solving wave equations with nonlocal boundary conditions.

Scientific reports May 19, 2026
Wave equations with nonlocal conditions appear in many scientific and engineering applications, such as, the population dynamics, the mathematical biology, and the materials science. The numerical challenge mainly stems from nonlocal terms, whose glo... read more 

MANet: a multimodal attention convolutional neural network for brain tumor classification.

Scientific reports May 19, 2026
Classification of brain tumors is a difficult problem in medical imaging analysis. Over the past few years, various deep learning-based techniques have been employed for detecting and classifying tumors from Computed Tomography (CT) and Magnetic Reso... read more 

Illuminating the black box of reservoir computing.

Scientific reports May 19, 2026
Reservoir computers, using recurrent neural networks with fixed random connections, are known to perform a wide range of information-processing tasks. Yet the transformations taking place within the reservoir, the interaction between input matrix, re... read more 

Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images.

NPJ precision oncology May 19, 2026
The classification of immunophenotypes in muscle-invasive bladder cancer (MIBC) is critical for predicting immunotherapy response and clinical outcomes, yet current assessment methods lack standardization and scalability. We developed and validated a... read more 

Deep learning-based prediction of lymph node metastasis and occult tumor cells in gastric cancer using histopathological images: a retrospective study.

British journal of cancer May 19, 2026
BACKGROUND: Lymph node metastasis (LNM) is an important prognostic factor but is often underdiagnosed due to limitations in conventional assessment methods. We aimed to develop a deep learning (DL) model to predict LNM status from primary gastric can... read more 

AI-enhanced virtual laboratories improve learning outcomes and student engagement in food microbiology education.

Scientific reports May 19, 2026
Food microbiology education faces significant challenges including prohibitive costs, safety concerns, and limited accessibility, as traditional laboratory-based instruction requires expensive infrastructure, specialized equipment, and stringent bios... read more 

A deep learning system for non-invasive breast cancer diagnosis with multimodal data.

Nature biomedical engineering May 19, 2026
Early and accurate diagnosis of breast cancer is critical for minimizing needle biopsies and enhancing patient outcomes and requires effective integration of multimodal information. In this article, we introduce a breast cancer intelligent non-invasi... read more 
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