Artificial Intelligence Medical Compendium

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

Showing 25,271 to 25,280 of 217,759 articles

DiffBulk: Enhancing Spatial Transcriptomic Prediction with Diffusion-Based Training.

IEEE transactions on medical imaging
Spatial Transcriptomics (ST) technology detects gene expression from tissue biopsies, playing an emerging role in cancer diagnosis and precision medicine. However, the high cost of ST technology limits its broader application. Recently, deep learning... read more 

RetinexDA: Progressive Disentanglement Domain Adaptation for Unsupervised Cross-Modality Medical Image Segmentation.

IEEE journal of biomedical and health informatics
Deep neural networks have achieved strong performance in medical image segmentation when the training and testing data share similar appearance characteristics. However, this assumption is rarely satisfied in practical clinical scenarios, where imagi... read more 

DFCNet: A Precise Detection Approach for Obstructive Sleep Apnea-Hypopnea Events Using Airflow and Respiratory Effort Signals.

IEEE journal of biomedical and health informatics
OBJECTIVE: The diagnosis of Sleep Apnea-Hypopnea Syndrome (SAHS) holds significant importance for assessing sleep quality and treating sleep disorders. However, the detection of hypopnea events has not been given due emphasis, and the precise delinea... read more 

A Comprehensive Framework for Generating Adaptive Arbitrarily Predefined-Time Convergent RNNs for Dynamic Zero-Finding Problem Applied to Circuits and Robotics.

IEEE transactions on cybernetics
Recurrent neural networks (RNNs) with predefined-time convergence capabilities are among the most powerful solvers for time-varying zero-finding problems (TVZFPs). However, a comprehensive design framework for such neural networks has not yet been we... read more 

Clinical Knowledge Representation in Data Science.

Annual review of biomedical data science
The vast potential of observational healthcare data in biomedical discovery remains largely unrealized because clinical records are fragmented, unstructured, and generated for patient care rather than research. Clinical knowledge representation (KR) ... read more 

OCTN1 variants shape innate immunity and predict individual response to anti-TNFα in ulcerative colitis patients: An exploratory study.

Inflammatory bowel diseases
BACKGROUND: Ulcerative colitis (UC) exhibits substantial heterogeneity in inflammatory pathways and therapeutic response. The organic cation transporter OCTN1 (SLC22A4) and its rs1050152 missense variant (L503F) have been implicated in innate immune ... read more 

Machine Learning-Based Risk Stratification for Symptomatic Intracranial Hemorrhage and 3-month Prognosis Following Intravenous Thrombolysis.

Cerebrovascular diseases extra
INTRODUCTION: Intravenous thrombolysis (IVT) with tissue-type plasminogen activator (tPA) is a cornerstone of acute ischemic stroke treatment, yet its benefits are limited by the risk of symptomatic intracranial hemorrhage (sICH), a complication asso... read more 

Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

PloS one
BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychological and academic outcomes. While various scales exist to assess problematic social media use, mos... read more 

Evaluation and enhancement of suspected opioid overdose definitions in emergency medical services data using machine learning with natural language processing.

PloS one
BACKGROUND: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug overdose since 2019. Emergency Medical Services (EMS) data has advantages over traditional emergency ... read more