Artificial Intelligence Medical Compendium

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

Showing 9,891 to 9,900 of 208,614 articles

Automated assessment of coronal lower extremity alignment on long-leg radiographs using a deep-learning model: validation, efficiency gains, and superiority of an edge-based tibial joint-line definition.

BMC musculoskeletal disorders
PURPOSE: To develop, validate, and benchmark a fully automated deep learning (DL) system that simultaneously measures 15 coronal lower-limb alignment parameters on standing long-leg radiographs (LLRs) and localizes deformity, and to compare two tibia... read more 

A visual analysis of the research dynamics of biomarkers for lung cancer screening.

Clinical epigenetics
BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed tomography (LDCT) screening. This study employed bibliometric analysis to identify global research ... read more 

Stress hyperglycemia ratio improves 28-day mortality prediction beyond GRACE score in critically ill patients with acute coronary syndrome: a retrospective cohort study from MIMIC-IV.

BMC cardiovascular disorders
BACKGROUND: The stress hyperglycemia ratio (SHR) is increasingly recognized as a reliable biomarker for adverse outcomes. However, its prognostic value specifically for the standardized endpoint of 28-day mortality in critically ill patients with ACS... read more 

AI-based fundus screening of teachers: fundus tessellated density as a myopia biomarker and occupational associations.

BMC public health
BACKGROUND: Artificial intelligence (AI)-based fundus imaging enables efficient large-scale retinal screening; however, its application in occupational populations remains limited. OBJECTIVE: To evaluate the utility of an AI-based fundus screening sy... read more 

Epigenetic-Metabolic interplay in chronic kidney disease mortality: insights from grimage acceleration and transcriptomic profiling.

Clinical epigenetics
BACKGROUND: Chronic kidney disease (CKD) is associated with a substantially elevated risk of mortality. Although GrimAge acceleration (GAA) and metabolic syndrome (MetS) are both implicated in this risk, their combined impact and the underlying biolo... read more 

Construction of a sports bio mechanical injury prediction and AI warning system based on wearable sensors.

BMC sports science, medicine & rehabilitation
BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditional methods rely on single sensor data and static threshold rules, which have problems such as single ... read more 

Predicting immune checkpoint inhibitor cardiotoxicity using machine learning: a systematic review of model performance and methodological quality.

Cardio-oncology (London, England)
BACKGROUND: Immune checkpoint inhibitors (ICIs) significantly improve cancer outcomes but can cause rare, potentially fatal cardiotoxicity, including myocarditis and major adverse cardiovascular events (MACE). Machine learning (ML) and artificial int... read more 

Recent Updates on Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration and Its Clinical Implications.

Tuberculosis and respiratory diseases
Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the standard minimally invasive modality for mediastinal staging in non-small cell lung cancer (NSCLC). As the TNM classification continues to evolve with refined prognos... read more 

Real-world implementation of clinical decision support systems in emergency departments: a scoping review protocol.

JBI evidence synthesis
OBJECTIVE: This scoping review will address one area of artificial intelligence (AI) applications: clinical decision support systems (CDSSs) implemented in emergency departments (EDs). Using implementation science frameworks, including the Consolidat... read more 

A multi-branch vision transformer with GA-optimized focal loss for ECG signal classification.

Technology and health care : official journal of the European Society for Engineering and Medicine
Background The classification of electrocardiogram (ECG) signals is a critical task in detecting cardiac arrhythmias. However, challenges such as class imbalance and the need to capture both local and global temporal patterns make this problem comple... read more