AIMC Topic: Young Adult

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A Scale Development Study: Ethical Sensitivity Towards Artificial Intelligence and Robot Nurses.

Journal of evaluation in clinical practice
BACKGROUND: Socially assistive robots use social interactions to monitor, coach, provide companionship, and support health-promoting activities. However, the widespread use of artificial intelligence and robot nurse applications in many areas leads t...

Impact of perceived ease of use and perceived usefulness of humanoid robots on students' intention to use.

Acta psychologica
The rapid progress of artificial intelligence (AI) has spurred significant changes in education, highlighting the need to explore students' perceptions and acceptance of AI-driven educational tools like humanoid robots. This study builds on an extend...

Sex-estimation method for three-dimensional shapes of the skull and skull parts using machine learning.

Forensic science international
Sex estimation is an indispensable test for identifying skeletal remains in the field of forensic anthropology. We developed a novel sex-estimation method for skulls and several parts of the skull using machine learning. A total of 240 skull shapes w...

Examining students' perspectives on the use of artificial intelligence tools in higher education: A case study on AI tools of graphic design.

Acta psychologica
Understanding and utilizing AI tools ensure that designers, particularly students, remain involved in a rapidly evolving industry. This study aimed to investigate students' perspectives on the use of AI tools in graphic design. A pre-post-test contro...

Analysis of the neural mechanisms of social anxiety based on EEG features and machine learning and construction of a diagnostic model.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of underlying neurophysiological mechanisms are of significant importance. This study aims to explore the neuroelectrophysiological characteristics and dia...

A catalyst for education? A study on the impact of artificial intelligence assisted learning in painting courses on college students' continuous learning intention.

Acta psychologica
This study examines artificial intelligence in college students' painting education and their potential impact on students' continuous learning intention. In this study, two surveys were conducted. The first survey included 793 valid samples, and the...

Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.

Computers in biology and medicine
Anorexia nervosa (AN), a severe eating disorder marked by extreme weight loss and malnutrition, leads to significant alterations in brain structure. This study used machine learning (ML) to estimate brain age from structural MRI scans and investigate...

Association between metal mixture in urine and abnormal blood pressure and mediated effect of oxidative stress based on BKMR and Machine learning method.

Ecotoxicology and environmental safety
BACKGROUND: Exposure to heavy metals represents a significant risk factor for hypertension and blood pressure disorders. Notably, current evidence indicates that the key biological processes of oxidative stress, inflammation, and endothelial dysfunct...

Deep learning reconstruction for T2-weighted and contrast-enhanced T1-weighted magnetic resonance enterography imaging in patients with Crohn's disease: Assessment of image quality and clinical utility.

Clinical imaging
PURPOSE: To investigate the image quality of deep learning-reconstructed T2-weighted half-Fourier single-shot turbo spin echo (DL T2 HASTE) and contrast-enhanced T1-weighted volumetric interpolated breath-hold examination (DL T1 VIBE) of magnetic res...

Enhanced Human Crawling Phase Recognition Based on Kinematic Synergies and Machine Learning.

Journal of biomechanical engineering
Hands-and-knees crawling, an effective rehabilitation method for children with motor impairments, requires precise phase detection for optimizing assistive devices. However, research on phase detection in human crawling remains limited. The research ...