Artificial Intelligence Medical Compendium

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

Showing 57,181 to 57,190 of 227,153 articles

Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD.

iScience Jan 29, 2026
Chronic obstructive pulmonary disease (COPD) and non-small-cell lung cancer (NSCLC) often coexist; here, the shared mitochondrial drivers were investigated. Serum from 30 subjects (seven controls, nine COPD, eight NSCLC, and six NSCLC with COPD) unde... read more 

Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.

iScience Jan 29, 2026
Aging-related transcriptional programs shape breast cancer progression, immune regulation, and therapeutic response. We integrated curated aging-associated genes with 108 survival modeling strategies to derive a machine learning-based aging gene sign... read more 

The role of dentists in the recognition of neurodegenerative and systemic conditions with neurological involvement.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 29, 2026
Dentists are often the first healthcare providers to observe subtle orofacial and behavioral changes that may reflect underlying neurological diseases, including altered salivary flow, dysphagia, oral burning sensations, unusual orofacial movements, ... read more 

Hierarchical ranking in hyperbolic space: A novel approach to metric learning.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
The integration of deep metric learning with hyperbolic geometry has shown significant potential for capturing complex hierarchical relationships. However, existing clustering-based methods struggle to fully leverage the properties of hyperbolic spac... read more 

NG-SNN: A neurogenesis-inspired dynamic adaptive framework for efficient spike classification.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Spiking neural networks (SNNs) are designed for low-power neuromorphic computing. A widely adopted hybrid paradigm decouples feature extraction from classification to improve biological plausibility and modularity. However, this decoupling concentrat... read more 

Autorep: Automatic network search with structured reparameterized based linear operation expansion and gradient proxy guided reduction.

Neural networks : the official journal of the International Neural Network Society Jan 29, 2026
Convolution neural network and Vision Transformer have achieved large success in various computer vision tasks. However, the huge computation cost hinders its application and it is hard to design efficient methods to obtain lightweight architectures ... read more 

Spacer cation design: promoting vertical orientation in layered perovskites.

EES solar Jan 29, 2026
Low-dimensional hybrid perovskites exhibit strongly anisotropic charge transport due to their layered structure, where organic cations (R) separate n inorganic octahedral slabs. Controlling their vertical crystal orientation is critical for enabling ... read more 

Redefining obstructive sleep apnea diagnosis: An attention augmented CNN-BiLSTM hybrid alternative to traditional PSG testing.

MethodsX Jan 29, 2026
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repeated episodes of upper airway obstruction during sleep. Despite its health risks, OSA often goes undiagnosed, as many individuals are unaware of the condition or misattribu... read more 

Multi-omics analysis reveals features improving outcomes and immunotherapy resistance in MSS colorectal cancer.

iScience Jan 29, 2026
In contrast to the MSI-H subtype, most microsatellite-stable (MSS) colorectal cancer (CRC) patients exhibit poor prognosis and limited responsiveness to immunotherapy, highlighting the urgent need for robust biomarkers to stratify prognosis and predi... read more 

MorphMaskFormer: a transformer-based deep segmentation model for multi-class Demirjian stage estimation from panoramic radiographs.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 29, 2026
OBJECTIVES: This study aims to develop an advanced deep learning model that automatically determines third-molar developmental stages in panoramic radiographs using the Demirjian classification, improving the accuracy and objectivity of dental age es... read more 
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