Artificial Intelligence Medical Compendium

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

Showing 1,261 to 1,270 of 6,800 articles

Multi-objective artificial-intelligence-based parameter tuning of antennas using variable-fidelity machine learning.

Scientific reports Jul 1, 2025
Multi-objective optimization (MO) is an important topic in contemporary antenna design. Due to the reliance on computationally-expensive electromagnetic (EM) simulations, the use of conventional algorithms is prohibitive. These costs can be reduced b... read more 

The analysis of dynamic evaluation of online shopping satisfaction based on the recurrent neural network model.

Scientific reports Jul 1, 2025
This work aims to accurately understand user satisfaction in online shopping, reflecting user preferences and promoting the development of online shopping. This work explores a behavioral prediction method for online shopping users using a Recurrent ... read more 
Humans Neural Networks, Computer Personal Satisfaction Internet Consumer Behavior Recurrent Neural Networks

Comparing ChatGPT and validated questionnaires in assessing loneliness and online social support among college students: a cross-sectional study.

Scientific reports Jul 1, 2025
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment tools. This study aims to explore the validity of ChatGPT in assessing loneliness and online social s... read more 
Humans Female Young Adult Adult Cross-Sectional Studies Male Students Social Support Surveys and Questionnaires Psychometrics Adolescent Generative Artificial Intelligence Universities Internet Loneliness

Deep learning based classification of tibio-femoral knee osteoarthritis from lateral view knee joint X-ray images.

Scientific reports Jul 1, 2025
Design an effective deep learning-driven method to locate and classify the tibio-femoral knee joint space width (JSW) with respect to both anterior-posterior (AP) and lateral views. Compare the results and see how successfully a deep learning approac... read more 
Humans Deep Learning Radiography Knee Joint Tibia Femur Osteoarthritis, Knee

Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction.

Scientific reports Jul 1, 2025
Considering that ozone is essential to understanding air quality and climate change, this study presents a deep learning method for predicting atmospheric ozone concentrations. The method combines an attention mechanism with a convolutional neural ne... read more 

DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system.

Scientific reports Jul 1, 2025
An intelligent transportation system consists of a variety of applications that analyze and exchange information to reduce traffic, enhance traffic management, lessen the impact on the environment, and boost the advantages of transportation for both ... read more 

Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.

Scientific reports Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh... read more 
Humans Machine Learning Tomography, X-Ray Computed Female Adult Radiomics Male Middle Aged Deep Learning Imaging, Three-Dimensional Bone Neoplasms Chondroma

Using deep learning to capture gravel soil microstructure and hydraulic characteristics.

Scientific reports Jul 1, 2025
The special hydraulic properties of gravel soil, attributed to its varying fine particle content, can be effectively analyzed using the Wasserstein Generative Adversarial Networks (WGANs) technique. This approach enables the reconstruction of 3D digi... read more 

Optimizing lightweight neural networks for efficient mobile edge computing.

Scientific reports Jul 1, 2025
In the era of rapid technological advancement, Mobile Edge Computing (MEC) has become essential for supporting latency-sensitive applications such as internet of things, autonomous driving, and smart cities. However, efficient resource allocation rem... read more 

Design of a deep fusion model for early Parkinson's disease prediction using handwritten image analysis.

Scientific reports Jul 1, 2025
Parkinson's Disease (PD) is a deteriorating condition that mostly affects older people. The lack of conclusive treatment for PD makes diagnosis very challenging. However, using patterns like tremors for early diagnosis, handwriting analysis has becom... read more 
Humans Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Parkinson Disease Early Diagnosis Handwriting
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