Artificial Intelligence Medical Compendium

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

Showing 111 to 120 of 156,510 articles

Identification and verification of feature biomarkers associated with CD14 monocytes in type 1 diabetes.

Journal of diabetes investigation
AIMS/INTRODUCTION: Monocytes contribute to the immune dysregulation of pancreatic islets in Type 1 diabetes mellitus (T1D). This study aims to identify the feature genes of CD14 monocytes in T1D, which might offer a new perspective on immune dysregul...

A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases.

Scientific reports
One of the primary challenges leading to a significant reduction in agricultural production is the prevalence of diseases affecting citrus plants. Prevention and monitoring the spread of citrus plant diseases is crucial for maintaining citrus product...

Early warning and stratification of the elderly cardiopulmonary dysfunction-related diseases: multicentre prospective study protocol.

BMJ open
INTRODUCTION: In China, there is a lack of standardised clinical imaging databases for multidimensional evaluation of cardiopulmonary diseases. To address this gap, this study protocol launched a project to build a clinical imaging technology integra...

Carbon co-benefits of digital economy and green finance: empirical evidence from China.

Carbon balance and management
Addressing the carbon co-benefits of policy tools requires simultaneous improvements in both the quantity and quality of carbon abatement to achieve long-term sustainability and equity. Driven by digital technologies and bolstered by green capital, t...

Quantifying features from X-ray images to assess early stage knee osteoarthritis.

Medical & biological engineering & computing
Knee osteoarthritis (KOA) is a progressive degenerative joint disease and a leading cause of disability worldwide. Manual diagnosis of KOA from X-ray images is subjective and prone to inter- and intra-observer variability, making early detection chal...

Research on transcranial magnetic stimulation for stroke rehabilitation: a visual analysis based on CiteSpace.

European journal of medical research
OBJECTIVE: This study aimed to analyze recent research and emerging trends in transcranial magnetic stimulation (TMS) for stroke rehabilitation.

Efficient attention vision transformers for monocular depth estimation on resource-limited hardware.

Scientific reports
Vision Transformers show important results in the current Deep Learning technological landscape, being able to approach complex and dense tasks, for instance, Monocular Depth Estimation. However, in the transformer architecture, the attention module ...

Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases.

Nature communications
Plastic waste, particularly polyethylene terephthalate (PET), presents significant environmental challenges, driving extensive research into enzymatic biodegradation. However, existing PET hydrolases (PETases) are limited by narrow sequence diversity...

Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning.

Scientific reports
This study introduces two innovative methods-Three-frequency pseudorange combination (TFPC) and Three-frequency carrier phase combination (TFCPC)-for estimating soil moisture using GNSS-IR technology. Unlike traditional methods that require separatin...

Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

European journal of clinical pharmacology
PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine learning methods, including neural networks, to predict steady-state trough concentrations in pediatric patients and provide improved dosing recommendati...