Artificial Intelligence Medical Compendium

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

Showing 45,391 to 45,400 of 224,055 articles

CAGAD: dynamic community attention for prediction gene regulatory network.

Theory in biosciences = Theorie in den Biowissenschaften Mar 3, 2026
One major issue with deep learning is that graph neural networks (GNNs) have a tendency to identify indirect and multi-level complicated associations between genes, which make them more difficult to interpret. Furthermore, it is still difficult to in... read more 

Deep learning ensemble models for CT-based differentiation of malignant and benign sacral bone tumors: development and evaluation.

Insights into imaging Mar 3, 2026
OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone lesions due to their similar imaging characteristics. This study aimed to develop an ensemble deep learning (DL) model that can preoperatively distingu... read more 

Using Machine Learning to Predict Features Within Substance Use Disorder Treatment Service Settings That Increase the Likelihood of Positive Treatment Outcomes.

Prevention science : the official journal of the Society for Prevention Research Mar 3, 2026
Given the conceptual issues involved in defining and measuring recovery and accordingly substance use disorder (SUD) treatment outcomes, the role of each state's treatment system and social factors, the objective is to examine underlying and interrel... read more 

A CNN-transformer fusion for EEG-based discrimination of Alzheimer's and frontotemporal dementia.

Physical and engineering sciences in medicine Mar 3, 2026
Dementia is a progressive neurodegenerative disorder that severely impacts cognitive functions and daily living, especially in aging populations. Among its subtypes, Alzheimer's disease (AD) and frontotemporal dementia (FTD) exhibit overlapping clini... read more 

SERS-Based E-Tongue Data Analysis Methods: From Spectrum Preparation to Qualitative and Quantitative Modeling.

ACS sensors Mar 3, 2026
The surface-enhanced Raman spectroscopy (SERS)-based electronic tongue (E-tongue) represents a noninvasive and label-free taste-mimicking technology. This method employs an SERS sensing array as the core for signal amplification and detection, integr... read more 

Characterization of Kidney and Liver Cystic Phenotype Associated with GANAB Using Advanced Imaging Biomarkers.

Nephron Mar 3, 2026
UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal dominant cystic kidney and liver disease, but quantitative imaging phenotypes remain incompletely defined. METHODS: We performed a retrospective study o... read more 

Current Trends in Ultrasound Wearables: Spotlight on System Architecture.

IEEE reviews in biomedical engineering Mar 3, 2026
Wearable ultrasound sensing systems are rapidly emerging for precise, continuous, and intuitive biomedical monitoring and human-in-the-loop interaction in healthcare, industry, and rehabilitation. These systems must operate under stringent constraint... read more 

Bond-Aware Molecular Graph Learning With Multi-Graph Interleaved Message Passing.

IEEE journal of biomedical and health informatics Mar 3, 2026
Graph neural networks (GNNs) have demonstrated remarkable capabilities in molecular property prediction. Existing approaches adopt GNNs by modeling molecules as homogeneous graphs. However, the bonds between atoms can be heterogeneous, whose characte... read more 

Revealing Sleep Dynamics with PCT-CRV: A Novel Approach for Automatic Sleep Staging and Tracking Transitions using PSG Signals.

IEEE journal of biomedical and health informatics Mar 3, 2026
Polysomnography (PSG)-based accurate sleep staging is essential to monitor sleep quality and sleep-related disorders. Despite previous attempts for improving the performance of automatic sleep staging, there are certain limitations: 1) neglecting syn... read more 

WGB-GLFI: A Novel Graph-Based Global-Local Feature Interaction Framework for Automated Seizure Detection.

IEEE journal of biomedical and health informatics Mar 3, 2026
Epilepsy detection faces significant challenges due to unpredictable seizures, ranging from brief awareness lapses to severe convulsions, posing risks to patients' safety and quality of life. In recent years, deep learning has become a mainstream app... read more 
Popular Topics
Recent Journals