Ana-Maria Bucur
Biographic Data
| ID | 9560036 |
|---|---|
| NAME | Ana-Maria Bucur |
| GIVEN NAMES | Ana-Maria |
| FAMILY NAME | Bucur |
| SIGNATURE | BUCUR A |
| AFFILIATIONS | University of Bucharest |
| ORCID | 0000-0003-2433-8877 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Screening for common mental health disorders
The current study presents the psychometrics and screening accuracy properties of a chatbot system that understands free-text responses to mental health screening questions using natural language processing (NLP). The aiCARE system was tested against web-based versions of the Patient Health Questionnaire- 9 (PHQ-9), General Anxiety Disorder-7 (GAD-7), and Posttraumatic Stress Disorder Checklist (PCL-5). The study included 773 volunteers (Mage = 2…
A conversational agent framework for mental health screening
While chatbots show promise for large-scale mental health screening, few offer interactive, free-text conversations, limiting their appeal for self-administered screening and impeding the timely detection of mental health issues. This study introduces an AI-based chatbot that allows users to respond to validated screening surveys for mental disorders (PHQ-9, GAD-7, and PCL-5) in a natural, free-text conversation manner with real-time feedback. Th…
No prominent works on this page.
Screening for common mental health disorders
The current study presents the psychometrics and screening accuracy properties of a chatbot system that understands free-text responses to mental health screening questions using natural language processing (NLP). The aiCARE system was tested against web-based versions of the Patient Health Questionnaire- 9 (PHQ-9), General Anxiety Disorder-7 (GAD-7), and Posttraumatic Stress Disorder Checklist (PCL-5). The study included 773 volunteers (Mage = 2…
A conversational agent framework for mental health screening
While chatbots show promise for large-scale mental health screening, few offer interactive, free-text conversations, limiting their appeal for self-administered screening and impeding the timely detection of mental health issues. This study introduces an AI-based chatbot that allows users to respond to validated screening surveys for mental disorders (PHQ-9, GAD-7, and PCL-5) in a natural, free-text conversation manner with real-time feedback. Th…
Computer Science (2 works) · Digital Mental Health Interventions (2 works) · Mental health (2 works) · Mental Health Research Topics (2 works) · Mental Health via Writing (2 works) · Psychology (2 works) · Anxiety (1 work) · Chatbot (1 work) · Checklist (1 work) · Clinical Psychology (1 work)