Artificial Intelligence Medical Compendium

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

Showing 5,121 to 5,130 of 174,202 articles

A deep learning model to predict glioma recurrence using integrated genomic and clinical data.

Communications medicine
BACKGROUND: Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year surviv... read more 

ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery

arXiv
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition marked by disruptions in brain connectivity. Functional MRI (fMRI) offers a non-invasive window into large-scale neural dynamics by measuring blood-oxygen-level-dependent (BOL... read more 

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more 

Deep Biomechanically-Guided Interpolation for Keypoint-Based Brain Shift Registration

arXiv
Accurate compensation of brain shift is critical for maintaining the reliability of neuronavigation during neurosurgery. While keypoint-based registration methods offer robustness to large deformations and topological changes, they typically rely o... read more 

Clinical prediction of sodium valproate-induced movement disorders in hospitalized patients: a nomogram-based model using real-world data.

International journal of clinical pharmacy
INTRODUCTION: Drug-induced movement disorders (DIMDs) are often underrecognized and challenging to diagnose and manage in clinical practice. Sodium valproate (VPA), a widely prescribed antiepileptic drug, causes DIMDs. Predictive modeling based on el... read more 

Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion.

Scientific reports
Unintended islanding presents substantial operational and safety risks in modern electrical distribution networks, particularly as distributed generation (DG) sources increasingly match or nearly match local load requirements. Conventional islanding ... read more 

Endothelin-1 in combination with CRB-65 enhance risk stratification in COVID-19 patients.

Infection
BACKGROUND: COVID-19 continuously causes severe disease conditions and significant mortality. We evaluate whether easily accessible biomarkers can improve risk prediction of severe disease outcomes. read more 

Bidirectional Multiscale Efficient Dilated Convolutional Recurrent Neural Network Improved by Swarm Intelligence Optimization.

IEEE transactions on neural networks and learning systems
In recent years, bidirectional convolutional recurrent neural networks (RNNs) have made significant breakthroughs in addressing a wide range of challenging problems related to time series and prediction applications. However, the performance of the m... read more 

Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study.

JMIR medical informatics
BACKGROUND: Recent advances in artificial intelligence (AI) have contributed to improved predictive modeling in health care, particularly in oncology. Traditional methods often rely on structured tabular data, but these approaches can struggle to cap... read more 

A high-resolution, nanopore-based artificial intelligence assay for DNA replication stress in human cancer cells.

Nature communications
DNA replication stress is a hallmark of cancer that is exploited by chemotherapies. Current assays for replication stress have low throughput and poor resolution whilst being unable to map the movement of replication forks genome-wide. We present a n... read more