AIMC Topic: Young Adult

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SensARy Substitution: Augmented Reality Techniques to Enhance Force Perception in Touchless Robot Control.

IEEE transactions on visualization and computer graphics
The lack of haptic feedback in touchless human-robot interaction is critical in applications such as robotic ultrasound, where force perception is crucial to ensure image quality. Augmented reality (AR) is a promising tool to address this limitation ...

Hit Around: Substitutional Moving Robot for Immersive and Exertion Interaction with Encountered-Type Haptic.

IEEE transactions on visualization and computer graphics
Previous works have shown the potential of immersive technologies to make physical activities a more engaging experience. With encountered-type haptic feedback, users can perceive a more realistic sensation for exertion interaction in substitutions r...

Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations.

IEEE transactions on visualization and computer graphics
Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance remains a key challenge. To address this, we propose a novel system that combines an AI-based virtual agent, powered by a large language model (LLM),...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

Scientific reports
The use of machine learning algorithms and artificial intelligence in medicine has attracted significant interest due to its ability to aid in predicting medical outcomes. This study aimed to evaluate the effectiveness of the random forest algorithm ...

Factors influencing adoption intentions to use AIGC for health information: findings from SEM and fsQCA.

Frontiers in public health
BACKGROUND: With the rapid advancement of artificial intelligence technologies, AI-generated content (AIGC) was increasingly applied in the health information sector, becoming a vital tool to enhance the efficiency and quality of health information e...

Machine learning based differential diagnosis of schizophrenia, major depression disorder and bipolar disorder using structural magnetic resonance imaging.

Journal of affective disorders
BACKGROUND: Cortical morphological abnormalities in schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD) have been identified in past research. However, their potential as objective biomarkers to differentiate these disorde...

Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.

BMC medical education
BACKGROUND: Generative Artificial Intelligence (GAI) has significantly impacted education at all levels, including health professional education. Understanding students' experiences is essential to enhancing AI literacy, adapting education to GAI, an...

Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.

Translational psychiatry
Young adults with childhood sexual abuse (CSA) are an especially vulnerable group to suicide. Suicide encompasses different phases, but for CSA survivors the salient factors precipitating suicide are rarely studied. In this study, from a progressive ...

Assessing the risk of problem gambling among lottery loyalty program members: A machine learning approach.

Addictive behaviors
BACKGROUND AND AIMS: Lottery gambling is a relatively benign form of gambling. Nonetheless, individuals with gambling problems may engage in lottery play and/or play the lottery exclusively. Lottery loyalty programs have data that could be used to sc...

Decoding of lexical items and grammatical features in EEG: A cross-linguistic study.

Neuropsychologia
Diverse evidence supports the theory that bilingual language users have language-invariant representations of concepts and grammatical forms such as argument structure. Here we extend that work to test the representation of morphosyntactic features a...