AIMC Topic: Young Adult
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Enhancing AI literacy in undergraduate pre-medical education through student associations: an educational intervention.
BMC medical education
Jul 3, 2025
BACKGROUND: The integration of artificial intelligence (AI) into healthcare is rapidly advancing, with profound implications for medical practice. However, a gap exists in formal AI education for pre-medical students. This study evaluates the effecti...
Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters.
Scientific reports
Jul 3, 2025
The diagnostic delay in celiac disease (CD) is currently a burden for individual and society. Biochemical tests may be used in risk-identification of CD to reduce the diagnostic delay, and we aimed to explore prediction models for CD antibody seropos...
Specific media literacy tips improve AI-generated visual misinformation discernment.
Cognitive research: principles and implications
Jul 3, 2025
Images generated using artificial intelligence (AI) have become increasingly realistic, sparking discussions and fears about an impending "infodemic" where we can no longer trust what we see on the internet. In this preregistered study, we examine wh...
Influence of cognitive networks and task performance on fMRI-based state classification using DNN models.
Scientific reports
Jul 3, 2025
Deep neural networks (DNNs) excel at extracting insights from complex data across various fields, however, their application in cognitive neuroscience remains limited, largely due to the lack of approaches with interpretability. Here, we employ two d...
Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.
BMC pregnancy and childbirth
Jul 2, 2025
BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, including determining the suitability of caesarean section (CS) births in low-resource countries. Despite machine learning algorithms offering a more robus...
Modeling student satisfaction in online learning using random forest.
Scientific reports
Jul 2, 2025
The rapid expansion of online education has intensified the need to investigate the multifactorial determinants of university students' satisfaction with digital learning platforms. While prior studies have often examined technical or pedagogical com...
The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.
Scientific reports
Jul 2, 2025
Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods for predicting HMME-PDT efficacy based on clinical factors are lacking. This study aims to develop and...
Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.
Scientific reports
Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.
Scientific reports
Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c...
Exploring the link between the ZJU index and sarcopenia in adults aged 20-59 using NHANES and machine learning.
Scientific reports
Jul 2, 2025
Sarcopenia, characterized by progressive loss of muscle mass and function, is a growing public health concern. The ZJU index, a novel metabolic marker, integrates lipid metabolism and glucose regulation parameters. While its association with metaboli...
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