AI Medical Compendium

A graph-based spatio-temporal framework for predicting safety-critical pedestrian-vehicle interactions at unsignalized crosswalks.

Accident; analysis and prevention Jan 16, 2026

Pedestrian safety remains a critical global concern, especially in countries like India, where unsignalized crossings with limited traffic control contribute to high pedestrian fatality rates. This study proposes a novel graph-based framework for ana... read more

Unlocking the potential of nailfold videocapillaroscopy in diagnosing and staging wild-type transthyretin amyloidosis: A preliminary approach.

Medicina clinica Jan 16, 2026

BACKGROUND: Wild-type transthyretin amyloidosis (ATTRwt) is a serious condition. At early stages, symptoms resemble those of heart failure with preserved ejection fraction (HFpEF). Our aim was to perform software-supported nailfold videocapillaroscop... read more

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

JACC. Advances Jan 16, 2026

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 Jan 16, 2026

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 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

Intelligent identification of osteoporosis on hip X-rays using vision transformer.

Bone reports Jan 16, 2026

OBJECTIVE: This study aimed to develop and evaluate a deep learning model based on the Vision Transformer (ViT) architecture for the automatic classification of hip X-ray images into three categories: normal bone mass, osteopenia, and osteoporosis. T... read more

Artificial Intelligence Medical Compendium