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

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

A comprehensive soil pollution monitoring system based on convolutional recursive sequence network and terahertz spectroscopy.

Analytica chimica acta Jan 16, 2026

BACKGROUND: Accurate analysis of the total amount of heavy metals and their distribution patterns in soil can aid in determining the extent of soil pollution and iake appropriate remediation measures.Traditional detection methods are inefficient, and... read more

Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust.

BJA open Jan 16, 2026

BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained resource. Capacity planning for these admissions is feasible, but hospitals often lack reliable systems estimating daily elective surgical ICU bed dem... read more

Graph-Agnostic Linear Transformers.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026

Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown promising performance due to the integration of local graph structures with global attention mechanisms. However, the complex attention functions and th... read more

Towards open-set myoelectric gesture recognition via dual-perspective inconsistency learning.

Computer methods and programs in biomedicine Jan 16, 2026

BACKGROUND AND OBJECTIVE: Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement rehabilitation. However, accurately recognizing... read more

Artificial Intelligence Medical Compendium