Artificial Intelligence Medical Compendium

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

Showing 43,001 to 43,010 of 223,853 articles

The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: A comprehensive review.

Food research international (Ottawa, Ont.)
Fresh food products are highly perishable and prone to quality deterioration throughout the supply chain, while conventional invasive monitoring methods suffer from low efficiency, destructiveness, and limited real-time capability. In recent years, n... read more 

Exploring relaxation features for rapid identification of olive oil adulteration via low-field nuclear magnetic resonance integrated with chemometrics.

Food research international (Ottawa, Ont.)
Low-field nuclear magnetic resonance (LF-NMR) is a non-destructive analytical technique utilized for relaxation spectral fingerprinting, which shows great potential in detecting commercial food fraud. This study developed an analytic framework to ide... read more 

Experimentally paired high- and low-resolution confocal fluorescence microscopy dataset for deep-learning super-resolution imaging of tooth dentin porosity.

Data in brief
The proposed dataset provides experimentally acquired high- and low-resolution confocal laser scanning microscopy images of dentin porosity, split into classified image patches that can be used for paired or unpaired super-resolution training. Porous... read more 

Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discovery.

Drug metabolism and pharmacokinetics
Advances in machine learning and artificial intelligence have recently extended to the quantitative prediction of drug-drug interaction (DDI). Because DDIs arise from diverse mechanisms and the required level of predictive accuracy varies with both t... read more 

Principles and approaches applied for foodborne microbial risk assessment: a scoping review of concepts, limitations and future directions.

Food microbiology
Microbiological risk assessment (MRA) is a cornerstone of food safety governance, enabling sound science to set food safety standards, guidelines, and recommendations, that aim to ensure consumer protection and facilitate international trade. This sc... read more 

A machine learning-based model to predict multi-time-point prognosis for acute-on-chronic hepatitis B liver failure.

iScience
Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patients with acute-on-chronic hepatitis B liver failure, thereby improving patient care and facilitating clinical decision-making for liver transplantation... read more 

Glucose forecasting and hypoglycemia forewarning in type 1 and type 2 diabetes using deep learning.

iScience
Hypoglycemia is a major barrier to safe diabetes management. Although deep learning has been widely applied to blood glucose (BG) prediction, most studies provide limited hypoglycemia forewarning and are trained on small type 1 diabetes cohorts with ... read more 

Non-contact monitoring in neonatology.

Zeitschrift fur Geburtshilfe und Neonatologie
To present and critically evaluate current contactless monitoring modalities - infrared thermography (IRT), photoplethysmography imaging (PPGI), ballistocardiography (BCG), radar-based techniques, seismocardiography - in neonatology and to assess the... read more 

Use of artificial intelligence for health science in low- and middle-income countries: NIH portfolio landscape, gaps and opportunities.

BMJ open
OBJECTIVES: To analyse the landscape of active US National Institutes of Health (NIH) artificial intelligence (AI) health research grants, with emphasis on studies conducted in low- and middle-income countries (LMICs), to characterise use cases, heal... read more 

AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.

Journal for immunotherapy of cancer
BACKGROUND: Ferroptosis plays a critical role in immune regulation and tumor microenvironment remodeling. However, its therapeutic potential in enhancing immune checkpoint inhibitor (ICI) efficacy remains incompletely understood and warrants further ... read more