Artificial Intelligence Medical Compendium

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

Showing 16,521 to 16,530 of 213,568 articles

Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization.

Scientific reports
Predicting the shear strength of concrete elements is a complex challenge influenced by numerous factors, with the type of concrete playing a decisive role in structural performance. Lightweight concrete, offering a superior strength-to-weight ratio ... read more 

Interpretable multitask model for clinical pathology image prediction and interpretation.

NPJ systems biology and applications
Deep learning (DL)-based pathological image modelling and analysis approaches offer transformative potential for early cancer diagnostics, yet limited sample sizes and a lack of interpretability often hinder efficient clinical translation. Here, we p... read more 

Quantum machine learning for predicting anastomotic leak: a clinical study.

Scientific reports
Anastomotic leak is a life-threatening complication following colorectal surgery. This study benchmarks Quantum Neural Networks (QNNs) against hyperparameter-tuned classical models (logistic regression, multi-layer perceptrons, boosting algorithms) f... read more 

Hybrid deep learning framework integrating CNNs, transformers, and adaptive optimization for accurate suspended sediment concentration prediction.

Scientific reports
Reliable prediction of suspended sediment concentration is essential for reservoir operation, sustainable water management, and river ecosystem restoration. However, accurate forecasting remains challenging due to the strong nonlinearity and nonstati... read more 

Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools.

Scientific reports
School attendance is a fundamental prerequisite for children's and adolescents' academic, social, and personal development. Yet, despite decades of research and policy efforts, rates of problematic school absenteeism remain persistently high. This st... read more 

A multi-class framework for face mask compliance detection using lightweight deep learning models.

Scientific reports
The use of face mask compliance regarding compliance monitoring is important in health sensitive and surveillance driven environments. This paper has introduced a multi-class face mask compliance detection system in the form of a Deep Convolutional N... read more 

Viral pneumonia detection during the COVID-19 pandemic using deep learning and DCGAN-based data augmentation.

Scientific reports
Deep learning has shown strong potential for automated chest X-ray analysis in the diagnosis of respiratory diseases. However, accurate detection of viral pneumonia remains challenging due to its radiographic similarity with COVID-19 and limited labe... read more 

Knowledge-prior memory discrimination based generative adversarial network for industrial anomaly detection and localization.

Scientific reports
Industrial anomaly detection and localization have become key procedures in modern manufacturing for product quality assurance. However, it is still challenging for the emerging deep learning-based unsupervised anomaly detection approaches to simulta... read more 

Intelligent audit decision support for enterprise related-party transactions based on knowledge graph and graph neural network.

Scientific reports
Related-party transactions (RPTs) occupy a central position in contemporary corporate governance, serving as essential channels for resource allocation among affiliated business entities. The growing complexity of ownership arrangements and globalize... read more 

Adaptive schedule deviation correction for complex information system projects: a graph neural network approach with knowledge distillation.

Scientific reports
Schedule deviation continues to plague complex information system projects, with empirical surveys reporting that over 70% of such projects suffer meaningful overruns and average delays exceeding one-quarter of the originally planned duration. Conven... read more