Artificial Intelligence Medical Compendium

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

Showing 43,351 to 43,360 of 224,055 articles

Explainable artificial intelligence-enhanced dual-mode electrochemical sensor for online monitoring of dimethoate.

Biosensors & bioelectronics
Electrochemical impedance spectroscopy (EIS) uses small alternating-current perturbations to probe charge-transfer and mass-transport processes across frequencies. The physical mechanisms underlying EIS responses are governed by the measurement frequ... read more 

Dual modal data-driven virtual reality-based mild cognitive Impairment assessment using MCIformer.

Computer methods and programs in biomedicine
BACKGROUND: Mild Cognitive Impairment (MCI) assessment is critical for identifying cognitive decline and enabling early intervention to reduce the risk of Alzheimer's disease (AD). Virtual Reality (VR)-based cognitive assessments offer enhanced engag... read more 

Rapid identification and prediction of the botanical origins and main components of Chinese yam based on a multimodal data fusion of near-infrared spectra and visualization image information.

Food chemistry
Yam was recognized as a nutritionally valuable crop, creating demand for rapid, and non-destructive quality control methods. A multimodal fusion strategy was developed by integrating near-infrared spectroscopy (NIRS) with image features to address th... read more 

TabulaTime: Novel multimodal deep learning for Acute Coronary Syndrome prediction through environmental and clinical data integration.

Artificial intelligence in medicine
Acute Coronary Syndromes (ACS), including ST- and non-ST-segment elevation myocardial infarction (STEMI, NSTEMI), remain a leading cause of global mortality. Traditional Cardiovascular Risk Scores (CVRS) provide important insights but mainly rely on ... read more 

Analysis of characteristic aroma compounds in Gastrodia elata f. glauca S. Chow and identification of fine-grained sampling points based on molecular docking and machine learning.

Food chemistry
Gastrodia elata f. glauca S. Chow (WTM) is a both a traditional food and a traditional Chinese medicine plant. The study aimed to reveal its flavor variations between fine-grained sampling points and formation mechanism though Gas chromatograohy-mass... read more 

A similarity-augmented q-RASPR framework for the antioxidant potential prediction and identification of functional food compounds.

Food chemistry
In this research, we implemented a quantitative read-across structure-property relationship (q-RASPR) framework to develop a statistically robust predictive model for estimating the antioxidant potential of chemical compounds, an area of growing rele... read more 

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pandemic, ranging from strict nationwide lockdowns to more voluntary approaches. This study aims to understanding how timing, stringency, and comprehens... read more 

Artificial intelligence enabled fouling prediction and effect of adsorbent sources in submerged fluidized bed ceramic membrane reactor for food industry wastewater treatment.

Environmental research
Wastewater from food industrial sectors is often characterized by high organic loads. In this study, submerged fluidized bed ceramic membrane reactor was applied as environmentally sustainable solution to treat food industry wastewater. Furthermore, ... read more 

Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.

Environmental research
Drought is thought of as one of the gravest climate-related hazards of the agro-dependent regions facing water stress like Pakistan where socio-economic stability and food security are under threat because of the increasing hydro-climatic variability... read more