AIMC Topic: Adult

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AI-Assisted 3D diagnosis of impacted maxillary canines: A validation study.

Clinical oral investigations
INTRODUCTION: This study aimed to validate an artificial intelligence (AI)-based automated image analysis for three-dimensional (3D) characterization of impacted canine position. In addition, it compared clinical treatment plans developed using conve...

A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being.

PloS one
BACKGROUND: While interventions have been designed which use extended reality (XR) technology in promoting physical, mental and social well-being through cultural heritage experiences, well-defined methodologies for the assessment of such interventio...

Machine learning-based prediction of metabolic dysfunction-associated steatotic liver disease using National Health and Nutrition Examination Survey (NHANES) data.

PloS one
OBJECTIVE: With the global increase in obesity rates and lifestyle changes, metabolic dysfunction-associated steatotic liver disease (MASLD) has become a prevalent chronic liver disorder, affecting approximately 25% of the global population. This dis...

Testing Sentence-in-Noise Recognition With Synthetic Speech and Automatic Speech Recognition.

Journal of speech, language, and hearing research : JSLHR
PURPOSE: Characterizing speech-in-noise recognition is fundamental to both clinical audiology and hearing research. Current methods rely on human speech recordings and human testers. However, modern artificial intelligence tools could automate both s...

Advancing olfactory perception research with EEG analysis: a dynamic approach of understanding brain responses to almond deterioration.

Food chemistry
Electroencephalography (EEG) enables the investigation of olfactory perception through neuronal electrical activity. Decoding dynamic oscillatory changes in sensory-cognitive processing is critical to understanding odor-induced brain responses. First...

Association of deep learning-derived optic nerve morphology with Parkinson's disease and drug-induced Parkinsonism: Findings from the LIFE Study.

Journal of the neurological sciences
BACKGROUND: There is a growing need for alternative imaging measures to better understand the neurodegenerative pathology of Parkinson's disease and related conditions, such as drug-induced Parkinsonism. This study investigated the link between optic...

Estimation of daily energy requirements using a hybrid artificial intelligence model.

Scientific reports
Accurately estimating energy requirements is critical for individuals to maintain a healthy life. Traditional methods may be time-consuming, complex, low in accuracy, and costly, thus creating a need for new approaches. This study explores the applic...

Predictors of adjustment to life after service among Canadian military veterans.

Scientific reports
The transition out of military service and into civilian life represents a considerable challenge for many military veterans. In this study we used mixture growth modeling and random forest analysis to examine predictors of adjustment to civilian lif...

Integrating machine learning and time-to-event models to explain and predict risk of hospitalization due to dengue in Colombia.

Scientific reports
Arboviral diseases such as dengue pose major public health challenges in endemic regions, notably in Norte de Santander (Colombia), where they place substantial pressure on healthcare services. We analyzed 8,814 confirmed dengue cases reported to the...