AI Medical Compendium

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

Acta psychologica Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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 Jan 16, 2026

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

Association between retinal AV ratio and coronary artery disease severity in acute coronary syndrome and chronic coronary syndrome Patients: A prospective study.

Indian heart journal Jan 16, 2026

BACKGROUND: Early, non-invasive detection of coronary artery disease (CAD) is a significant challenge. Given the anatomical and pathophysiological parallels between retinal and coronary microvasculature, retinal arteriovenous (AV) ratio may serve as ... read more

Computer Aided Polyp Detection Multi-center International Randomized Controlled Study with a Focus on Community Clinics: GAIN Clinical Trial.

Gastrointestinal endoscopy Jan 16, 2026

BACKGROUND/AIMS: Computer-aided polyp detection (CADe) systems can enhance polyp detection, although their performance has largely been evaluated at academic rather than community practices. This randomized controlled trial evaluated the impact of th... read more

Artificial Intelligence Medical Compendium