Artificial Intelligence Medical Compendium

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

Showing 12,071 to 12,080 of 210,314 articles

WHiAR-Net: an interpretable multi-scale forecasting framework via Wavelet-Hilbert feature engineering.

Scientific reports May 24, 2026
Accurate forecasting of non-stationary time series remains challenging due to complex volatility. We introduce WHiAR-Net, an interpretable framework integrating wavelet theory with Hilbert spectral analysis to separate long-term trends from transient... read more 

FL-trafficNet: a hybrid federated transformer-GNN framework with dual attention for smart routing in IoV and VANET environments.

Scientific reports May 24, 2026
One of the major problems smart cities face is how to efficiently route traffic, especially when connected vehicles and sensors produce a very large amount of real, time data. This heavy traffic load results in delays, inefficient routing, and excess... read more 

A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent.

Scientific reports May 24, 2026
The convergence of Sixth-Generation (6G) wireless networks and neuromorphic computing presents significant opportunities for intelligent, energy-efficient resource management in distributed architectures. This paper introduces Neuro6G-Agent, a hierar... read more 

Machine learning prediction of dual absorber lead-free perovskite solar cells for boosting PCE.

Scientific reports May 24, 2026
Curtailing the toxicity level of perovskites is a considerable obstacle resisting the wide-scale commercialization of perovskite solar cells (PSCs). This study investigates the impact of implementing several charge transport layers (CTLs) on the perf... read more 

Research on the application of deep learning-driven urban change detection in sustainable development of hilly-area cities in western China.

Scientific reports May 24, 2026
Urban sustainable development is a critical pathway to overcoming resource constraints in the urbanization processes and achieving synergistic high-quality economic development and ecological security in hilly areas city of western China. This study ... read more 

Deep-learning-based construction of a high-resolution earthquake catalog for the 2023 Jishishan [Formula: see text] 6.2 earthquake sequence.

Scientific reports May 24, 2026
On 18 December 2023, a [Formula: see text] 6.2 earthquake struck Jishishan, Gansu Province, northwestern China. The resulting aftershock sequence provides an important opportunity to investigate the seismogenic structure and postseismic activity in t... read more 

Explainable AI for public health surveillance: investigating the persistent crisis of intentional injury mortality (suicide and homicide) in the Americas.

Scientific reports May 24, 2026
Intentional injury mortality (IIM), comprising homicide and suicide, remains a critical public health crisis in the Americas, which not only has the highest regional homicide rates globally but is also the only region where suicide rates continue to ... read more 

Robust graph-transformer soft sensor for radar level estimation in dynamic LPG storage systems.

Scientific reports May 24, 2026
Accurate liquid-level monitoring is vital for the safe operation of Liquefied Petroleum Gas (LPG) carriers. Conventional radar gauges are expensive and vulnerable to performance degradation under dynamic conditions. This paper proposes a Robust Graph... read more 

Predicting the future of urban ecological resilience in China's Yellow River Basin: a machine learning approach.

Scientific reports May 24, 2026
Urban Ecological Resilience (UER) is essential for sustainable development, especially within ecologically sensitive regions such as China's Yellow River Basin (YRB). Existing assessments of UER often encounter difficulties attributable to extensive ... read more 

Machine learning-based prediction of 3-month mortality in elderly patients with non-small cell lung cancer and bone metastases.

Scientific reports May 24, 2026
Elderly patients with non-small cell lung cancer (NSCLC) and bone metastases face a dire prognosis, creating an urgent need for accurate short-term mortality prediction to guide care. To develop and validate machine learning (ML) models for predictin... read more 
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