Artificial Intelligence Medical Compendium

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

Showing 16,611 to 16,620 of 213,633 articles

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

Scientific reports May 19, 2026
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 May 19, 2026
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 May 19, 2026
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 May 19, 2026
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 May 19, 2026
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 

A hybrid deep fuzzy clustering framework with fusion-based learning for robust SAR change detection.

Scientific reports May 19, 2026
Multi-temporal Synthetic Aperture Radar (SAR) images are essential in detecting changes in the environment, analyzing urban growth, and assessing disasters. Nonetheless, it is difficult to reliably detect meaningful changes because of speckle noise, ... read more 

A novel diagnosis method based on multimodal-aware bi-objective competitive mechanism for Alzheimer's disease.

Scientific reports May 19, 2026
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders. Recent statistical surveys and studies indicate that AD is poised to become a major global health burden in the coming decades. Among current strategies, leveraging mu... read more 

Optimizing green-adaptive green infrastructure in response to extreme climate changes: insights from a hybrid SEM-ANN method.

Scientific reports May 19, 2026
Despite the potential of Green-Adaptive Green Infrastructure (GAGI) to increase the provision of ecosystem services, and to mitigate urban climate risks while maintaining biodiversity, there is a critical research gap in the empirical identification ... read more 

Attention-augmented hybrid framework with evolutionary optimization for robust deepfake detection.

Scientific reports May 19, 2026
The widespread availability of powerful generative models, such as Generative Adversarial Networks (GANs) and Autoencoders, has led to a dramatic surge in deepfake content production. These synthetically generated videos, often indistinguishable from... read more 

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach.

Scientific reports May 19, 2026
The lack of validated stage-specific biomarkers hampers the understanding of Alzheimer's disease (AD) progression and clinical translation. Current transcriptomic methods often produce unstable results with limited stage discrimination. We aimed to d... read more 
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