Artificial Intelligence Medical Compendium

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

Showing 72,311 to 72,320 of 235,116 articles

Accuracy of AI-Based Algorithms in Pulmonary Embolism Detection on Computed Tomographic Pulmonary Angiography: An Updated Systematic Review and Meta-analysis.

Journal of imaging informatics in medicine Sep 15, 2025
Several artificial intelligence (AI) algorithms have been designed for detection of pulmonary embolism (PE) using computed tomographic pulmonary angiography (CTPA). Due to the rapid development of this field and the lack of an updated meta-analysis, ... read more 

Predicting the risk of in-stent restenosis after drug-eluting stent implantation: Pipe dream or machine learning-enabled opportunity?

International journal of cardiology Sep 15, 2025
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Virtual screening of umami peptides during sufu ripening based on machine learning and molecular docking to umami receptor T1R1/T1R3.

Food chemistry Sep 15, 2025
Umami peptides might significantly contribute to the taste of sufu. However, the inefficiencies of traditional identification methods had great limitations. This study explored a new approach for umami peptides characterization in sufu. Combining pep... read more 
Humans Machine Learning Receptors, G-Protein-Coupled Amino Acid Sequence Taste Peptides Molecular Docking Simulation Soy Foods Flavoring Agents Glycine max

HBUED: An EEG dataset for emotion recognition.

Journal of affective disorders Sep 15, 2025
Emotion recognition via electroencephalogram (EEG) data is crucial for improving human-computer interaction. In practice, researchers require a substantial quantity of EEG samples to train and validate models. However, existing EEG datasets typically... read more 
Datasets as Topic Emotions Electroencephalography Humans Deep Learning

Machine learning-based predictive modeling of depressive symptoms in Chinese adolescents.

Journal of affective disorders Sep 15, 2025
BACKGROUND: The aim is to develop prediction models by lifestyles indicators as well as socioeconomic status to predict the risk of depressive symptoms in adolescents, and to rank and explain these predictors. read more 
Child East Asian People Life Style Depression Adolescent Male China Humans Machine Learning Risk Factors Cross-Sectional Studies Female

HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.

Food chemistry Sep 15, 2025
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC) and its toxin bongkrekic acid rises the risk for food poisoning. Combining Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) with c... read more 
Burkholderia gladioli Limit of Detection Neural Networks, Computer Gas Chromatography-Mass Spectrometry Basidiomycota Convolutional Neural Networks Food Contamination

Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning.

Food chemistry Sep 15, 2025
Ultrasound-assisted novel solvent extraction enhances plant bioactive compound yield via cavitation, mechanical, and thermal mechanisms. However, the high designability of novel solvents, the multiple influence factors for extracting results, the com... read more 
Deep Learning Ultrasonic Waves Plant Extracts Solvents Plants Ultrasonics Machine Learning Chemical Fractionation

Machine learning classification of quorum sensing-induced bacterial aggregation using flow rate assays on paper chips toward bacterial species identification in potable water sources.

Biosensors & bioelectronics Sep 15, 2025
Preventing waterborne disease caused by bacteria is especially important in low-resource settings, where skilled personnel and laboratory equipment are scarce. This work reports a straightforward method for classifying bacterial species by monitoring... read more 
Paper Drinking Water Machine Learning Biosensing Techniques Water Microbiology Bacteria Microfluidic Analytical Techniques Algorithms Lab-On-A-Chip Devices Quorum Sensing

Machine learning approaches for the prediction of retained placenta in dairy cows.

Theriogenology Sep 15, 2025
Retained placenta (RP) is a reproductive disorder that causes significant financial losses to the dairy industry. Predicting RP risk in cows post-calving is a challenging task. This study aimed to evaluate the predictive capabilities of five machine ... read more 
Machine Learning Female Animals Pregnancy Bayes Theorem Dairying Placenta, Retained Cattle Cattle Diseases

Decoding chronic stress: From behavioral-molecular dynamics in mice to clinical implications of cortisol and IL-17 in depression severity.

Journal of affective disorders Sep 15, 2025
BACKGROUNDS: The etiology of depression involves chronic stress, a recognized determinant of onset and severity. This study adopts a translational approach, utilizing a mouse model and a clinical cohort to explore the relationship between chronic str... read more 
Depression Stress, Psychological Interleukin-17 Middle Aged Severity of Illness Index Mice, Inbred C57BL Chronic Disease Hydrocortisone Mice Disease Models, Animal Biomarkers Female Humans Animals Adult Machine Learning Male
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