Artificial Intelligence Medical Compendium

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

Showing 2,261 to 2,270 of 202,214 articles

SRP-Net: sensitive risk propagation network with asymmetric cross-attention for educational data.

Scientific reports
In the digital transformation of education, detecting sensitive information in structured educational data faces the challenge of semantic mismatch between titles and content, as well as isolated risk assessment that ignores field relevance. We propo... read more 

Demographic-aware temporal graph attention for fair and accurate cardiac abnormality detection in 12-lead ECG.

Scientific reports
Automated 12-lead ECG interpretation has achieved strong diagnostic accuracy through deep learning, yet systematic demographic disparities-particularly between male and female patients-undermine the equitable deployment of these systems in clinical p... read more 

Data-driven and machine learning framework for Alfalfa yield response to long-term climate variability in the Kansas High Plains (USA).

Scientific reports
Climate extremes and declining water availability in the U.S. High Plains threaten the long-term sustainability of alfalfa production. This study presents a machine learning (ML) based modeling framework to identify and evaluate key agro-climatic pre... read more 

Dual dimensions of artificial intelligence use among medical academia: related knowledge, attitudes and ethical concerns, a national survey, 2025.

Scientific reports
AI integration into medical education and practice has its benefits and risks. This national web-based cross-sectional survey on Egyptian medical staff and students aimed to assess knowledge, attitudes, and concerns regarding the use of AI. This stud... read more 

Vehicle-wise validated ensemble learning framework for robust electric vehicle energy consumption prediction using physics-guided features and statistical benchmarking.

Scientific reports
Predicting EV energy consumption accurately is essential for solving range anxiety and helping with better route planning and energy management in real conditions. Many current studies use random data splitting and few evaluation measures, which lead... read more 

Chaotic dynamics of Tai Chi public attention revealed by an integrated framework of horizontal visibility graphs, autoencoders, and sparse identification.

Scientific reports
Understanding the dynamical patterns of public attention towards traditional cultural practices such as Tai Chi is crucial for cultural heritage preservation and promotion strategies. This study reveals the chaotic dynamics underlying Tai Chi public ... read more 

Spatiotemporal dynamics and nonlinear drivers of ecosystem service synergies and trade-offs in Shaanxi, China.

Scientific reports
Spatiotemporal interactions among ecosystem services (ES) and their drivers are essential for sustainable landscape management. This study employs the Dynamic Ecosystem Trade-off Synergy Index (DETSI), local indicators of spatial association (LISA) a... read more 

The accuracy-fairness-efficiency Trilemma in mobile image classification: a Pareto benchmark.

Scientific reports
Deploying deep learning classifiers on resource-constrained mobile devices requires simultaneously satisfying three competing objectives: predictive accuracy, demographic fairness, and inference efficiency. No prior work has jointly formalized these ... read more 

Research on glass surface defect detection method based on shadowgraphy imaging and improved YOLOv11n.

Scientific reports
Addressing the challenges of observing and detecting defects on ordinary glass surfaces, this paper proposes a defect detection method combining shadowgraphy technology with the YOLO_FSA algorithm. By constructing a glass surface defect image dataset... read more