Yusen Zhai
Biographic Data
| ID | 6517767 |
|---|---|
| NAME | Yusen Zhai |
| GIVEN NAMES | Yusen |
| FAMILY NAME | Zhai |
| SIGNATURE | ZHAI Y |
| AFFILIATIONS | University of Alabama at Birmingham |
| ORCID | 0000-0001-6257-3005 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Counsellors Attitudes, Emotions, and Ethical Concerns Regarding Artificial Intelligence
Artificial Intelligence in Human Growth and Development
Artificial intelligence (AI) applications influence human growth and development across the lifespan. This article provides a conceptual model that shows significant AI applications and their influence from prenatal to maturity using Erikson's psychosocial stages as a framework. AI influences development through diverse avenues, encompassing diagnosis, attachment formation, social skill acquisition, relationship dynamics, and caregiver support. T…
Employment-Related Assistive Technology Needs in Autistic Adults
Background: Assistive technology (AT) can support autistic adults in navigating employment-related challenges. However, limited research has explored autistic adults’ actual needs and experiences with AT in the workplace. Existing studies often overlook how well current AT solutions align with the real-world demands autistic adults face across the employment process. To address this gap, this study conducted a needs assessment to explore autistic…
The role of mental health and protective factors in student academic persistence and retention during a global crisis
The COVID-19 pandemic has exacerbated challenges for millions of students globally, leading to enrollment cliff. This study addresses the existing research gap by investigating the influence of students' mental health and various protective factors (i.e., optimism, help-seeking behaviors, social support) on academic persistence, an indicator of student retention. We utilized the structural equation modeling approach to examine the effect of stude…
Machine learning predictive models to guide prevention and intervention allocation for anxiety and depressive disorders among college students
College student mental health has been a critical concern for professional counselors. Anxiety and depressive disorders have become increasingly prevalent over the past decade. Utilizing machine learning, a subset of artificial intelligence (AI), we developed predictive models (i.e., eXtreme Gradient Boosting [XGBoost], Random Forest, Decision Tree, and Logistic Regression) to identify US college students at heightened risk of diagnosable anxiety…
Responding to the HIV Health Literacy Needs of Clients in Substance Use Treatment
Health literacy, particularly HIV health literacy, is a key social determinant of health and can be significantly improved through targeted health education. This paper explores the often-overlooked potential of pre-exposure prophylaxis (PrEP) education as a powerful tool to enhance HIV health literacy among people with substance use disorders (PWSUD), a population notably susceptible to HIV. Given the syndemic interplay of substance use disorder…
Disparities and intersectionality in social support networks
The COVID-19 pandemic has brought social injustice and inequalities to the forefront of global public health. Members of marginalised communities, such as racial/ethnic and sexual minorities, and persons with disabilities, have been shown to be more vulnerable to certain consequences of the pandemic. Research suggests a protective role of social support in health and wellness promotion, yet little is known about the disparities in specific social…
Mental health care for international Chinese students affected by the Covid-19 outbreak
Addressing collegiate mental health amid Covid-19 pandemic
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Mental health care for international Chinese students affected by the Covid-19 outbreak
Addressing collegiate mental health amid Covid-19 pandemic
Disparities and intersectionality in social support networks
The COVID-19 pandemic has brought social injustice and inequalities to the forefront of global public health. Members of marginalised communities, such as racial/ethnic and sexual minorities, and persons with disabilities, have been shown to be more vulnerable to certain consequences of the pandemic. Research suggests a protective role of social support in health and wellness promotion, yet little is known about the disparities in specific social…
Responding to the HIV Health Literacy Needs of Clients in Substance Use Treatment
Health literacy, particularly HIV health literacy, is a key social determinant of health and can be significantly improved through targeted health education. This paper explores the often-overlooked potential of pre-exposure prophylaxis (PrEP) education as a powerful tool to enhance HIV health literacy among people with substance use disorders (PWSUD), a population notably susceptible to HIV. Given the syndemic interplay of substance use disorder…
The role of mental health and protective factors in student academic persistence and retention during a global crisis
The COVID-19 pandemic has exacerbated challenges for millions of students globally, leading to enrollment cliff. This study addresses the existing research gap by investigating the influence of students' mental health and various protective factors (i.e., optimism, help-seeking behaviors, social support) on academic persistence, an indicator of student retention. We utilized the structural equation modeling approach to examine the effect of stude…
Machine learning predictive models to guide prevention and intervention allocation for anxiety and depressive disorders among college students
College student mental health has been a critical concern for professional counselors. Anxiety and depressive disorders have become increasingly prevalent over the past decade. Utilizing machine learning, a subset of artificial intelligence (AI), we developed predictive models (i.e., eXtreme Gradient Boosting [XGBoost], Random Forest, Decision Tree, and Logistic Regression) to identify US college students at heightened risk of diagnosable anxiety…
Artificial Intelligence in Human Growth and Development
Artificial intelligence (AI) applications influence human growth and development across the lifespan. This article provides a conceptual model that shows significant AI applications and their influence from prenatal to maturity using Erikson's psychosocial stages as a framework. AI influences development through diverse avenues, encompassing diagnosis, attachment formation, social skill acquisition, relationship dynamics, and caregiver support. T…
Employment-Related Assistive Technology Needs in Autistic Adults
Background: Assistive technology (AT) can support autistic adults in navigating employment-related challenges. However, limited research has explored autistic adults’ actual needs and experiences with AT in the workplace. Existing studies often overlook how well current AT solutions align with the real-world demands autistic adults face across the employment process. To address this gap, this study conducted a needs assessment to explore autistic…
Counsellors Attitudes, Emotions, and Ethical Concerns Regarding Artificial Intelligence
Psychology (8 works) · Medicine (5 works) · Mental health (5 works) · Psychiatry (5 works) · COVID-19 and Mental Health (4 works) · Political science (4 works) · Public health (4 works) · Mental Health Treatment and Access (3 works) · Nursing (3 works) · Pandemic (3 works)