AI Medical Compendium

Meteorological associations with out-of-hospital cardiac arrest: A national population-based time-series analysis.

Public health Jan 16, 2026

OBJECTIVES: Meteorological factors may influence cardiovascular emergency incidence, but comprehensive national evidence for out-of-hospital cardiac arrest (OHCA) associations remains limited. We investigated meteorological associations with OHCA occ... read more

Predictive modeling and spatiotemporal analysis of TB in Argentina: Advancing control efforts through machine learning.

Public health Jan 16, 2026

OBJECTIVES: To improve prediction and understanding of TB dynamics in Argentina, identifying key risk factors and high-incidence areas to inform surveillance and public health control strategies. STUDY DESIGN: Retrospective observational study. METHO... read more

Impact of a new deep-learning image reconstruction algorithm on potential dose reduction and quality of chest CT images: a phantom study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 16, 2026

PURPOSE: To evaluate the impact of a new deep-learning image reconstruction (DLR) algorithm on image quality and potential dose reduction compared with a hybrid iterative reconstruction (IR) algorithm under chest CT conditions. MATERIALS AND METHODS:... read more

Machine learning guided structural dynamics identifies translation elongation factor 1 (EEF1A1) as an immunological biomarker and marine natural products as therapeutic leads for rheumatoid arthritis with major depressive disorder.

Computers in biology and medicine Jan 16, 2026

Rheumatoid arthritis (RA) is a systemic autoimmune disease that predominantly affects synovial joints, especially those of the hands, elbows, wrists, knees, and shoulders. RA frequently co-occurs with major depressive disorder (MDD), amplifying disea... read more

IntNet: Lightweight yet high-performance deep learning system for intuitive radar patterns analysis and human fall detection.

Computers in biology and medicine Jan 16, 2026

The growing trend of solitary living among the elderly and young, coupled with the high risk of falls leading to injuries and death, highlights the need for fall monitoring systems. Emphasizing individuals' privacy and comfort, these systems should r... read more

DrowsyDG-Phys: Generalizable driver drowsiness estimation in conditional automated vehicles using physiological signals.

Accident; analysis and prevention Jan 16, 2026

Driver drowsiness is one of the leading causes of crashes, injuries, and fatalities on the road. Traditional drowsiness detection models relied on manually extracted physiological features processed through machine learning algorithms. However, these... read more

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

The SynMall resource for characterizing the functional impact of synonymous variation.

Genome research Jan 16, 2026

Synonymous single-nucleotide variants (sSNVs) are increasingly recognized as contributors to disease, yet existing variant annotation databases offer limited functional insights for sSNVs. Here, we present SynMall, a comprehensive resource designed t... read more

Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning.

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

The core of mining point of interest (POI) data is to learn the user preference representation. However, existing POI sequence learning methods often serve downstream tasks in an end-to-end manner. It lacks the ability to support multiple downstream ... read more

Small-molecule fluorescent probes for the aminergic GPCRs - What new tool compounds do we have post-2014 and what can they do?

European journal of medicinal chemistry Jan 16, 2026

Aminergic G protein-coupled receptors (GPCRs) are heavily involved in the physiological functions of the human body and represent prominent drug targets for numerous diseases. Despite extensive work over the years, knowledge gaps persist as not all a... read more

Artificial Intelligence Medical Compendium