Artificial Intelligence Medical Compendium

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

Showing 1,711 to 1,720 of 6,954 articles

Drug-drug interaction prediction of traditional Chinese medicine based on graph attention networks.

Scientific reports May 28, 2025
Predicting drug-drug interactions (DDI) is crucial for preventing adverse reactions in patients and plays a vital role in drug design and development. However, traditional Chinese medicine (TCM) formulations, typically composed of multiple herbal ing... read more 
Humans Neural Networks, Computer Deep Learning Medicine, Chinese Traditional Drugs, Chinese Herbal Drug Interactions

A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction.

Scientific reports May 28, 2025
Accurate very short-term wind power forecasting is critical for the reliable integration of renewable energy into modern power systems. However, the inherent variability and non-linearity of wind power data pose significant challenges. To address the... read more 

Enhancing Security in CPS Industry 5.0 using Lightweight MobileNetV3 with Adaptive Optimization Technique.

Scientific reports May 28, 2025
Advanced Cyber-Physical Systems (CPS) that facilitate seamless communication between humans, machines, and objects are revolutionizing industrial automation as part of Industry 5.0, which is being driven by technologies such as IIoT, cloud computing,... read more 

A multi-task learning model for global soil moisture prediction based on adaptive weight allocation.

Scientific reports May 28, 2025
Global soil moisture is crucial for multiple disciplines such as earth science and agricultural science. Therefore, there are many studies on how to improve the prediction accuracy of soil moisture, especially the rapid development of deep learning i... read more 

An efficient bearing fault detection strategy based on a hybrid machine learning technique.

Scientific reports May 28, 2025
This study introduces an innovative method for addressing the bearing fault detection problem in rotating machinery. The proposed approach integrates multi-feature extraction, advanced feature selection, and state-of-the-art classification techniques... read more 

Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest.

Scientific reports May 28, 2025
Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military surveillance, healthcare, environmental monitoring, and smart cities. However, WSNs face several secur... read more 

MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.

Scientific reports May 28, 2025
Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and complication profile. Traditional demographic and lifestyle factors often fail as predictors of AFib. This study investigated pre-operative, circulating... read more 
Humans Machine Learning Biomarkers Female Aged Male Middle Aged Postoperative Complications Gene Expression Profiling MicroRNAs Atrial Fibrillation Coronary Artery Bypass

C2 pars interarticularis length on the side of high-riding vertebral artery with implications for pars screw insertion.

Scientific reports May 28, 2025
C2 pars interarticularis length (C2PIL) required for pars screws has not been thoroughly studied in subjects with high-riding vertebral artery (HRVA). We aimed to measure C2PIL specifically on the sides with HRVA, define short pars, optimal pars scre... read more 
Humans Machine Learning Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Case-Control Studies Cervical Vertebrae Bone Screws Vertebral Artery

Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications.

Scientific reports May 28, 2025
Denial of Wallet (DoW) attacks are one kind of cyberattack whose goal is to develop and expand the financial sources of a group by causing extreme costs in their serverless computing or cloud environments. These threats are chiefly related to serverl... read more 

A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition.

Scientific reports May 28, 2025
Coal gangue recognition presents significant challenges in the mining industry due to its inefficient and costly traditional treatment methods. The advent of deep learning techniques has introduced novel solutions for automating and online coal gangu... read more 
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