Artificial Intelligence Medical Compendium

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

Showing 161 to 170 of 6,548 articles

Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting.

Scientific reports Jul 29, 2025
Traffic forecasting is considered a cornerstone of smart city development. A key challenge is capturing the long-term spatiotemporal dependencies of traffic data while improving the model's generalization ability. To address these issues, various sop... read more 

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Scientific reports Jul 29, 2025
Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual responses vary, necessitating personalized treatment strategies. Conventional approaches prioritize treating high-risk patients, but advancements in m... read more 
Humans Machine Learning Databases, Factual Female Aged Male Cardiovascular Diseases Middle Aged Treatment Outcome Japan Hydroxymethylglutaryl-CoA Reductase Inhibitors Propensity Score

Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models.

Scientific reports Jul 29, 2025
Rice diseases pose a critical threat to global crop yields, underscoring the need for rapid and accurate diagnostic tools to ensure effective crop management and productivity. Traditional diagnostic approaches often lack both precision and scalabilit... read more 
Neural Networks, Computer Deep Learning Plant Leaves Oryza Plant Diseases

Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning.

Scientific reports Jul 29, 2025
This study investigates the effectiveness of inclined double cutoff walls installed beneath hydraulic structures by employing five machine learning models: Random Forest (RF), Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost), Light G... read more 

Consistent vehicle trajectory extraction from aerial recordings using oriented object detection.

Scientific reports Jul 28, 2025
Vehicle trajectories offer valuable insights for a wide range of road transportation applications. Due to the rise of drone technology, a growing branch of literature explores optical vehicle trajectory extraction from aerial videos, where object det... read more 

Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks.

Scientific reports Jul 28, 2025
This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations. To improve system resilience and achieve swift recovery without depending on fault... read more 

AI-based prediction of traffic crash severity for improving road safety and transportation efficiency.

Scientific reports Jul 28, 2025
Ensuring safe transportation requires a comprehensive understanding of driving behaviors and road safety to mitigate traffic crashes, reduce risks and enhance mobility. This study introduces an AI-driven machine learning (ML) framework for traffic cr... read more 

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports Jul 28, 2025
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def... read more 
Pregnancy Female Animals Male Rats Disease Models, Animal Schizophrenia Animals, Newborn Prenatal Exposure Delayed Effects Vocalization, Animal Methylazoxymethanol Acetate

Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees.

Scientific reports Jul 28, 2025
Reinforced concrete (RC) T-beams are widely used in structural systems due to their efficient geometry and load-carrying capacity. However, accurately predicting their shear strength remains a challenge, particularly under complex loading scenarios. ... read more 

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework.

Scientific reports Jul 28, 2025
Global population aging highlights the need to understand how the elderly perceive safety in urban public spaces. This study used image semantic segmentation to identify key visual elements from panoramic images. A dataset was created by combining ma... read more 
Humans Female Aged Aged, 80 and over Male Safety Parks, Recreational Perception Boosting Machine Learning Algorithms
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