Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 16,541 to 16,550 of 213,568 articles

Urinary copper is linked to regional cortical volume reductions in adolescents with major depressive disorder.

Translational psychiatry
Major depressive disorder (MDD) is highly prevalent among adolescents, but its neurobiological mechanisms remain unclear. Neuroimaging studies have shown cortical abnormalities in MDD, and emerging evidence suggests that trace elements may impact bra... read more 

Inferring stochastic dynamics by biophysical Neural ODE using single-cell transcriptomics.

Nature communications
Single-cell RNA sequencing has revolutionized our ability to dissect cellular heterogeneity and study cell fate mechanisms, yet inferring stochastic dynamics from static snapshots remains a fundamental challenge. Current approaches face a critical tr... read more 

Compounding hazards increase flood economic losses across Europe.

Nature communications
Compound events-combinations of multiple hazards contributing to societal or environmental risk-can significantly exacerbate disaster impacts, yet their effect on flood-related losses remains poorly quantified. Using a pan-European multi-hazard datas... read more 

An Electrical Capacitance Tomography Dataset for Image Reconstruction Benchmarking.

Scientific data
We introduce ECT-Bench, the first large-scale, experimentally acquired dataset for planar Electrical Capacitance Tomography (ECT) designed to evaluate both imaging and dynamic tracking algorithms. The dataset contains 54,739 high-resolution mutual ca... read more 

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning.

Scientific reports
Accurate short- and medium-term forecasting of renewable energy generation is essential for ensuring grid stability, operational planning, and efficient energy management. This study presents a comprehensive time-series forecasting framework for wind... read more 

Exploiting quantum chaos diagnostics in QAOA for enhanced hybrid quantum classical deep learning classification.

Scientific reports
The Quantum Approximate Optimization Algorithm (QAOA) is repurposed here as a feature map within a hybrid quantum-classical classifier, augmented by a chaos-informed diagnostic. We extract a scalar chaos feature by evaluating an Out-Of-Time-Ordered c... read more 

AgroQuali-FSL: a few-shot deep learning framework with QualiProtoNet for automated quality grading of fruits and vegetables.

Scientific reports
As the supply chain moves towards uniformity, objectivity, and scalability, it is imperative that fruit and vegetable quality grading be conducted using automated methods. Traditional computer vision-based systems are effective only in controlled env... read more 

A gated task-attentive multi-task network for unified retinal image analysis.

Scientific reports
Diabetic retinopathy (DR) is one of the major causes of preventable blindness in the world, and accurate large-scale screening tools are needed urgently. Most of the deep learning methods which have been developed for retinal image analysis are treat... read more 

Metaheuristic-optimized bell-shaped slotted pentaband patch antenna for C, X, Ku, and K band applications.

Scientific reports
The current study proposes a compact metaheuristic optimization-driven design of the slotted pentaband patch antenna with a bell-shaped patch, operating in the C, X, Ku, and K bands for satellite telemetry, radar sensing, and wideband transceivers. T... read more