Artificial Intelligence Medical Compendium

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

Showing 721 to 730 of 6,689 articles

Gut microbiota composition is related to anxiety and aggression scores in companion dogs.

Scientific reports
There is mounting evidence for a link between behaviour and the gut microbiome in animal and human health. However, the role of the gut microbiome in the development and severity of behavioural issues in companion dogs is not yet fully understood. He... read more 

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Scientific reports
Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint post-inoculation represents a frequent component of risk assessment activities to assess the capacity of IAV to replicate systemically. However, few stu... read more 

Spatio-temporal transformer and graph convolutional networks based traffic flow prediction.

Scientific reports
Traffic flow prediction is a core component of intelligent transportation systems, providing accurate decision support for traffic management and urban planning. Traffic flow data exhibits highly complex spatiotemporal characteristics due to the intr... read more 

Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Scientific reports
Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-income countries. Leveraging advancements in technology, such as machine learning (ML) algorithms, offers the potential to improve neonatal care by enabli... read more 

Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network.

Scientific reports
Due to the complex construction conditions, long work cycles, and high uncertainty inherent in agricultural water conservancy projects, accurate construction cost prediction is crucial for investment decisions. This study presents an innovative cost ... read more 

Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease.

Scientific reports
Moyamoya disease (MMD) is a rare occlusive cerebrovascular disease, and its pathological mechanism remains unclear at present. The abnormal vascular remodeling may be involved in vascular endothelial cells. In this study, RNA seq was performed on the... read more 

A semi supervised framework for human and machine collaboration in computer assisted text refinement.

Scientific reports
Human writing often exhibits a range of styles and levels of sophistication. However, automated text generation systems typically lack the nuanced understanding required to produce refined and elegant prose. Due to the inherent one-to-many relationsh... read more 

AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols.

Scientific reports
Accurate segmentation of brain tumors from multimodal Magnetic Resonance Imaging (MRI) plays a critical role in diagnosis, treatment planning, and disease monitoring in neuro-oncology. Traditional methods of tumor segmentation, often manual and labou... read more 

Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.

Scientific reports
Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylprednisolone commonly used for treatment. However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingl... read more