Artificial Intelligence Medical Compendium

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

Showing 991 to 1,000 of 6,689 articles

Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure.

Scientific reports
Heart failure (HF) is a severe cardiovascular disease often worsened by respiratory infections like influenza, COVID-19, and community-acquired pneumonia (CAP). This study aims to uncover the molecular commonalities among these respiratory diseases a... read more 

Advanced multiscale machine learning for nerve conduction velocity analysis.

Scientific reports
This paper presents an advanced machine learning (ML) framework for precise nerve conduction velocity (NCV) analysis, integrating multiscale signal processing with physiologically-constrained deep learning. Our approach addresses three fundamental li... read more 

Harnessing artificial intelligence for sustainable urban development: advancing the three Zeros method through innovation and infrastructure.

Scientific reports
Integrating artificial intelligence (AI) into sustainable urban development presents an innovative pathway for addressing global environmental and socio-economic challenges. This study examines how AI technologies-such as machine learning, the Intern... read more 

Predicting boiling heat flux, heat transfer coefficient, and regimes Non-intrusively using external acoustics and deep learning.

Scientific reports
Accurate monitoring of boiling heat transfer is critical for the safety and efficiency of high energy-density systems, including data center cooling, nuclear reactors, and industrial boilers. Traditional diagnostic methods relying on intrusive sensor... read more 

Comparative analysis of model compression techniques for achieving carbon efficient AI.

Scientific reports
The growing computational demands of models, such as BERT, have raised concerns about their environmental impact. This study addresses the pressing need for sustainable Artificial Intelligence practices by investigating the efficiency of model compre... read more 

Separation of organic molecules from water by design of membrane using mass transfer model analysis and computational machine learning.

Scientific reports
This work investigates the utilization of ensemble machine learning methods in forecasting the distribution of chemical concentrations in membrane separation system for removal of an impurity from water. Mass transfer was evaluated using CFD and mach... read more 

Deep learning-based quantitative analysis of glomerular morphology in IgA nephropathy whole slide images and its prognostic implications.

Scientific reports
Kidney pathology of immunoglobulin A nephropathy (IgAN), which is the key finding of both diagnosis and risk stratification, involves labor-intensive manual interpretation as well as unavoidable interpreter-dependent variabilities. We propose artific... read more 

Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks.

Scientific reports
Oral cancer is a hazardous disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop the deep convolutional neural networks (CNN)-based multiclass classification and object detection models for distingui... read more 

Assessment of resilience and key drivers of Tibetan villages in Western Sichuan.

Scientific reports
This study employs an integrated analytical framework combining the Social-Ecological System (SES) and Driver-Pressure-State-Impact-Response (DPSIR) models, supplemented by quantitative methodologies including the Entropy Weight Method (EWM), General... read more 

ICKAN: A deep musical instrument classification model incorporating Kolmogorov-Arnold network.

Scientific reports
Musical instrument classification, as a fundamental task in music information retrieval (MIR), has broad applications in music analysis, education, and content management. However, existing research primarily focuses on short monophonic samples for c... read more