AI Medical Compendium

Integrating AI design tools into traditional design workflows: A study on collaborative tool usage willingness based on the Push-Pull-Mooring framework.

Acta psychologica Jan 12, 2026

In the context of rapid AI development, designers are increasingly integrating AI tools into traditional workflows, forming a collaborative rather than substitutive mode of tool usage. Grounded in the Push-Pull-Mooring (PPM) framework, this study inv... read more

The power of beliefs: How Generative Artificial Intelligence (GenAI) influences academic performance.

Acta psychologica Jan 12, 2026

The application of Generative Artificial Intelligence (GenAI) in higher education is expanding rapidly. However, little research focusses on the influence of students' beliefs on the application effectiveness of GenAI and their academic performance. ... read more

Usability of quantitative atlas measurements from computed tomography images for sex estimation: A machine learning approach.

Morphologie : bulletin de l'Association des anatomistes Jan 12, 2026

Sex estimation plays a critical role in forensic identification, missing person identification, and forensic investigations. This study aimed to evaluate the usability of quantitative metric measurements obtained from computed tomography (CT) images ... read more

Machine learning to assess correlated sociodemographic and socioeconomic community-level data and association with sepsis incidence.

Journal of critical care Jan 12, 2026

From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.

Bioelectrochemistry (Amsterdam, Netherlands) Jan 12, 2026

The integration of machine learning (ML) with advanced wearable sensor technologies is revolutionizing healthcare by enabling real-time, intelligent monitoring of physiological parameters such as electrocardiogram (ECG), blood glucose, and respirator... read more

RLBindDeep: A ResNet-LSTM based novel framework for protein-ligand binding affinity prediction.

Journal of molecular graphics & modelling Jan 12, 2026

The prediction of the binding affinity of proteins and ligands in computational drug discovery with high accuracy is critical when evaluating the effectiveness of potential therapeutic compounds. This research work introduces RLBindDeep, a novel deep... read more

Molreac-Oxi: An end-to-end deep learning-quantum chemistry platform for •OH reactivity (kOH), pathways, and active-site insight.

Environmental research Jan 12, 2026

To address the long-standing challenge of efficiently evaluating reaction rate constants (kOH) for pollutant-hydroxyl radical (•OH) systems in environmental pollution control, a hybrid meta-model framework is introduced that fuses deep pretrained mod... read more

Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values.

Diabetes research and clinical practice Jan 12, 2026

OBJECTIVE(S): To develop and internally validate an interpretable machine learning model using eXtreme Gradient Boosting (XGBoost) and Shapley Additive exPlanations (SHAP) to predict postpartum glucose intolerance among women with GDM using routine a... read more

FG-DDI: Functional group-aware graph neural networks for drug-drug interaction prediction.

Journal of biomedical informatics Jan 12, 2026

OBJECTIVE: We aim to improve Drug-Drug Interactions (DDIs) by explicitly injecting medicinal-chemistry knowledge of functional groups (FGs) into graph neural network (GNN) message passing, in both transductive and inductive settings. Our goal is to (... read more

Is artificial intelligence a friend or foe to epidemiology?

Annals of epidemiology Jan 12, 2026

Epidemiology has long been central to public health, guiding our understanding of the distribution and determinants of disease. As the field has evolved-from John Snow's cholera investigations to large-scale cohort studies and causal inference framew... read more

Artificial Intelligence Medical Compendium