Artificial Intelligence Medical Compendium

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

Showing 3,441 to 3,450 of 203,255 articles

Smart meter health state prediction based on residual-connected self-attention ConvLSTM network.

Scientific reports
Accurate health state prediction of smart meters is essential for ensuring metering reliability and enabling condition-based maintenance in advanced metering infrastructure. Existing approaches based on conventional machine learning or standard deep ... read more 

An explainable meta-learned hybrid CNN-transformer model with dual attention for leukemia diagnosis from peripheral blood smears.

Scientific reports
Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its early diagnosis remains challenging due to non-specific clinical symptoms and reliance on invasive procedures such as bone marrow biopsies. To addres... read more 

A multi-layer airport security framework using YOLO-based X-ray detection, video anomaly analysis, IoT sensor monitoring and blockchain logging.

Scientific reports
Security screening systems require reliable and real-time detection of threats in complex X-ray imagery and surrounding environments. Manual inspection of baggage images is often a overhead due to operator fatigue, cluttered objects and overlapping i... read more 

Machine learning-driven prediction of mechanical properties of lightweight concrete based on experimental data.

Scientific reports
Lightweight concrete (LWC) is increasingly used in structural and non-structural applications due to its ability to reduce self-weight while maintaining adequate mechanical performance. However, predicting the mechanical behavior of EPS-based lightwe... read more 

Quantitative measurement of agonistic behaviors of intra- and interspecifics of Gryllus bimaculatus and Acheta domesticus by using DeepLabCut.

Scientific reports
Animal social behavior, such as agonistic behavior, has been extensively studied for a long time since it is one of the key factors that influence the survivability and reproductive success in many animals, including crickets. Gryllus bimaculatus, a ... read more 

Intercomparison case study of data-driven reconstructions of a cloud-obscured Saharan dust plume in Europe.

Scientific reports
On 15 March 2022 an intense, but partially cloud-obscured, Saharan dust plume was transported towards Europe by an atmospheric river. Ten-year statistics of dust plumes co-occurring with cloud cover over Europe highlights that regionally up to 100% o... read more 

ScaHybNet: a scalogram-based hybrid ensemble network for ECG arrhythmia classification.

Scientific reports
Cardiovascular diseases are the leading cause of death in the world, requiring the accurate and timely detection of arrhythmias to prevent sudden cardiac death. In this work, ScaHybNet, a deep learning ensemble model is proposed for multi-class arrhy... read more 

privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images.

Scientific reports
Predicting spatial transcriptomics from histology images offers cost-effective insights but faces privacy barriers preventing cross-institutional data sharing. To address this, we present privateST, a homomorphic-encryption-optimized framework that s... read more 

Adaptive spatiotemporal graph learning for multi-horizon probabilistic wind power forecasting.

Scientific reports
Accurate and reliable forecasting of wind power generation is a cornerstone for ensuring the operational flexibility, economic efficiency, and grid stability of modern power systems with high renewable penetration. While recent advances in deep learn... read more 

Experimental-AI approach (hybrid) for evaluating the strength characteristics of eco-efficient concrete incorporating coal bottom ash.

Scientific reports
Thermal power stations generate large amount of coal bottom ash (CBA), which is mostly disposed of in landfills, creating environmental hazards. At the same time, the continual use of natural aggregate in concrete is depleting resources. Present stud... read more