Artificial Intelligence Medical Compendium

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

Showing 3,641 to 3,650 of 168,679 articles

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi... read more 

Artificial intelligence-enhanced echocardiography in cardiovascular disease management.

Nature reviews. Cardiology
Artificial intelligence (AI) is transforming echocardiography, ushering in an era of improved diagnostic precision, efficiency and patient care. In this Review, we present an in-depth exploration of AI applications in echocardiography, highlighting t... read more 

A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning.

Scientific reports
In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect serum Raman spectra from schizophrenic and healthy individuals, classified them based on four convolutional neural networks, and developed an assisted s... read more 

The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning.

Scientific data
Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and ... read more 

Image space formalism of convolutional neural networks for k-space interpolation.

Magnetic resonance in medicine
PURPOSE: Noise resilience in image reconstructions by scan-specific robust artificial neural networks for k-space interpolation (RAKI) is linked to nonlinear activations in k-space. To gain a deeper understanding of this relationship, an image space ... read more 

Prediction model for chemical explosion consequences via multimodal feature fusion.

Journal of cheminformatics
Chemical explosion accidents represent a significant threat to both human safety and environmental integrity. The accurate prediction of such incidents plays a pivotal role in risk mitigation and safety enhancement within the chemical industry. This ... read more 

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Scientific reports
Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanisms remain unclear. Rho-signal transduction genes may play a role due to their involvement in bone remodeling. This study aimed to explore Rho-related ... read more 

Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China.

BMC pediatrics
BACKGROUND: Early childhood caries (ECC) is a major global public health concern, necessitating its early screening. This study aimed to establish a caries risk assessment (CRA) platform for managing caries in community preschool children in underdev... read more 

Short-term rainfall prediction based on radar echo using an efficient spatio-temporal recurrent unit.

Scientific reports
Accurate short-term precipitation prediction is critical for agricultural production, transportation safety, and water resource management. In this paper, we propose an Efficient Spatio-Temporal Recurrent Unit (ESTRU) for short-term precipitation pre... read more 

Daily insider threat detection with hybrid TCN transformer architecture.

Scientific reports
Internal threats are becoming more common in today's cybersecurity landscape. This is mainly because internal personnel often have privileged access, which can be exploited for malicious purposes. Traditional detection methods frequently fail due to ... read more