Artificial Intelligence Medical Compendium

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

Showing 60,891 to 60,900 of 228,300 articles

Multisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction.

JACC. Advances
BACKGROUND: Low left ventricular ejection fraction (LEF) can progress undiagnosed. Artificial intelligence-based electrocardiogram (ECG-AI) screening may provide a scalable means to detect LEF. OBJECTIVES: The purpose of this study was to validate a ... read more 

Potential link between dioxin induced progression of diffuse large B-cell lymphoma: New insights from machine learning and in vitro experiments.

Ecotoxicology and environmental safety
BACKGROUND: Dioxin has emerged as a major and modifiable determinant of tumor burden worldwide. Building on this premise, we investigated whether dioxin-interacting genes (DIGs) are connected to diffuse large B-cell lymphoma (DLBCL) and sought genes ... read more 

Preservice English teachers' attitudes toward GenAI: A qualitative study based on UTAUT2 model.

Acta psychologica
This qualitative study examines the psychological attitudes of preservice English teachers toward generative artificial intelligence (GenAI) through the UTAUT2 model. Thematic analysis of semi-structured interviews with 15 undergraduate teacher candi... read more 

A study of the effect of AI usage on students' self-efficacy and academic performance in business education: Moderating effect of teacher support [Registered report - stage I].

Acta psychologica
The integration of artificial intelligence (AI) in business education marks a significant shift in pedagogical approaches, yet the psychological mechanisms and contextual factors influencing its effectiveness are not yet fully understood. This regist... read more 

Variant-resolved prediction of context-specific isoform variation with a graph-based attention model.

Cell genomics
In eukaryotes, most genes produce multiple transcript isoforms that diversify the transcriptome and proteome, serving as a key mechanism of functional regulation. Genetic variation can disrupt the RNA processing signals that shape isoform structure a... read more 

Generalizable Deep Learning for Prostate Cancer Risk Stratification: Multicenter Study Integrating 18F-PSMA-1007 PET/CT and mpMRI.

Academic radiology
BACKGROUND: Prostate cancer is the second most common cancer in men, with rising mortality rates necessitating precise risk stratification. High-invasive biological features-specifically International Society of Urological Pathology (ISUP) grade, ext... read more 

Deep Learning Analysis Based on Dual-energy CT-Derived Iodine Map for Predicting PD-L1 Expression in Gastric Cancer: A Multicenter Study.

Academic radiology
RATIONALE AND OBJECTIVES: PD-L1 expression is a critical biomarker in guiding immunotherapy for gastric cancer (GC). This study aims to investigate the value of deep learning analysis based on dual-energy CT-derived iodine map for predicting the leve... read more 

Enhancing Brain-Computer interface performance through source-level attention mechanism: An EEG motor imagery study.

Journal of neuroscience methods
BACKGROUND: Brain-computer interfaces (BCIs) enable direct communication between humans and machines by translating brain signals into control commands. Electroencephalography (EEG) is a commonly used modality in BCI systems due to its non-invasivene... read more 

A Deep Learning Model for Dynamic Prediction of Acute Kidney Injury in Heart Failure Patientss.

The Canadian journal of cardiology
BACKGROUND: This study aimed to develop and validate a dynamic prediction model for acute kidney injury (AKI) in heart failure (HF) patients. METHODS: Using data from 7,636 HF patients in the MIMIC-IV v3.1 database, we constructed a Long Short-Term M... read more 

AggrescanAI: Prediction of Aggregation-Prone Regions Using Contextualized Embeddings.

Journal of molecular biology
Protein aggregation plays a central role in the pathogenesis of many neurodegenerative diseases and poses major challenges in protein engineering. A key driver of this process is the presence of aggregation-prone regions (APRs) within protein sequenc... read more