Artificial Intelligence Medical Compendium

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

Showing 3,911 to 3,920 of 171,696 articles

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 12, 2025
Accurate risk stratification is crucial for determining the optimal treatment plan for patients with colorectal cancer (CRC). However, existing deep learning models perform poorly in the preoperative diagnosis of CRC and exhibit limited generalizabil... read more 

DualNetM: an adaptive dual network framework for inferring functional-oriented markers.

BMC biology Aug 12, 2025
BACKGROUND: Understanding how genes regulate each other in cells is crucial for determining cell identity and development, and single-cell sequencing technologies facilitate such research through gene regulatory networks (GRNs). However, identifying ... read more 

Design and realization of a low-drive bionic frog robot.

Bioinspiration & biomimetics Aug 12, 2025
This paper presents the design and fabrication of a compact underdriven bionic frog robot, which is inspired by the locomotion stance of a frog. The robot's hind legs were ingeniously built using an underdriven associative 8-bar linkage mechanism wit... read more 
Biomechanical Phenomena Animals Robotics Equipment Design Biomimetics Swimming Locomotion Anura Bionics

Winnow-KAN: single-cell RNA-seq location recovery with small-gene-set spatial transcriptomics.

BMC bioinformatics Aug 12, 2025
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DualGCN-GE: integration of spatiotemporal representations from whole-blood expression data with dual-view graph convolution network to identify Parkinson's disease subtypes.

BMC bioinformatics Aug 12, 2025
BACKGROUND: As a typical type of neurodegenerative disorders, Parkinson's disease(PD) is characterized by significant clinical and progression heterogeneity. Based on gene expression data, reliable detection of PACE subtypes in Parkinson's disease(PD... read more 

A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion.

Scientific reports Aug 12, 2025
Pain is a multifaceted phenomenon that significantly affects a large portion of the global population. Objective pain assessment is essential for developing effective management strategies, which in turn contribute to more efficient and responsive he... read more 

Machine learning model for predicting in-hospital cardiac mortality among atrial fibrillation patients.

Scientific reports Aug 12, 2025
This study developed and validated a machine learning (ML) model to predict in-hospital cardiac mortality in 18,727 atrial fibrillation (AF) patients using electronic medical record data. Four ML algorithms-random forest, extreme gradient boosting (X... read more 

Rolling bearing fault diagnosis under small sample conditions based on WDCNN-BiLSTM Siamese network.

Scientific reports Aug 12, 2025
Rolling bearings are a crucial component in rotating machinery, essential for ensuring the smooth functioning of the entire system. However, their vulnerability to damage necessitates the implementation of effective fault diagnosis. Traditional deep ... read more 

Efficient estimating and clustering lithium-ion batteries with a deep-learning approach.

Communications engineering Aug 12, 2025
Growing energy storage demand has solidified the dominance of lithium-ion batteries (LIBs) in modern societies but intensifies recycling pressures. Precise state-of-health (SOH) assessment is crucial to grouping retired batteries from an unknown stat... read more 

Identification of small-molecule inhibitors for GluN1/GluN3A NMDA receptors via a multiscale CNN-based prediction model.

Acta pharmacologica Sinica Aug 12, 2025
N-methyl-D-aspartate receptors (NMDARs) are critical mediators of excitatory neurotransmission and are composed of seven subunits (GluN1, GluN2A-D, and GluN3A-B) that form diverse receptor subtypes. While GluN1/GluN2 subtypes have been extensively ch... read more 
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