Abstract
Zaenb Alsalman, Abdullah Almaqhawi, Abdullah Almulhim, Anwar Fawzi Alqadeep, Ghadeer Mohammed Almutawah, Fatemah Ali Al Khalifa, Fatima Ramzi Alghadeer, Hawra Adnan Aleid, Walaa Mohammed Alkhalifah, Zainab Abdrabulridha Alabdullah, Safiah Ahmed AlAmer, Marwa Mahmoud Shafey
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
pubmed
Confidence 98%
unpaywall
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Unresolved referenced work
2023
Artificial intelligence in mental health care: task-specific perspectives of professionals in Saudi Arabia
10.3390/healthcare14060701 · 2026
Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots
10.3389/fdgth.2023.1278186 · 2023
The willingness to utilize psychological health applications among Saudis: a study guided by the unified theory of acceptance and use of technology (UTAUT)
10.1177/00469580261437649 · 2026
Acceptance of using artificial intelligence and digital technology for mental health interventions: the development and initial validation of the UTAUT-AI-DMHI
10.1002/cpp.70085 · 2025
Artificial intelligence conversational agents in mental health: patients see potential, but prefer humans in the loop
10.3389/fpsyt.2024.1505024 · 2025
Exploring users’ acceptance and engagement with mental health chatbots: insights from an integrative review
10.1155/ijta/9055091 · 2026
Factors predicting intentions of adoption and continued use of artificial intelligence chatbots for mental health: examining the role of the UTAUT model, stigma, privacy concerns, and artificial intelligence hesitancy
10.1089/tmj.2023.0313 · 2024
Exploring the ethical challenges of conversational AI in mental health care: scoping review
10.2196/60432 · 2025
User acceptance of information technology: toward a unified view
10.2307/30036540 · 2003
Healthcare practitioners' acceptance of using telehealth in the Kingdom of Saudi Arabia: an application of the unified theory of acceptance and use of technology model
10.3389/fdgth.2025.1659997 · 2025
Investigating the factors influencing users’ adoption of artificial intelligence health assistants based on an extended UTAUT model
10.1038/s41598-025-01897-0 · 2025
A systematic review of mental health in the Arab region
10.1177/00220221251406572 · 2026
Healthcare consumers' acceptance and use of digital health technology in LMICs and the role of self-efficacy and facilitating conditions: a systematic review and meta-analysis
10.1016/j.lanwpc.2026.101875 · 2026
Exploring students' perceptions and usage of artificial intelligence in supporting mental health: a preliminary study in higher education in Qatar
10.3390/healthcare14091247 · 2026
University students’ perceptions and intentions to use digital mental health services including online therapy and mental health apps: a cross-sectional study
10.3390/ijerph23060719 · 2026
Assessment of Saudi public perceptions and opinions towards artificial intelligence in health care
10.3390/medicina60060938 · 2024
Barriers to mental health service utilisation among medical students in Saudi Arabia
10.3389/fpubh.2024.1371628 · 2024
Reconceptualising the treatment gap for common mental disorders: A fork in the road for global mental health?
10.1192/bjp.2021.221 · 2022
Barriers to mental health treatment in the Saudi National Mental Health Survey
10.3390/ijerph17113877 · 2020
Global estimates of service coverage for severe mental disorders: findings from the WHO mental health atlas 2017
10.1017/gmh.2021.19 · 2021
Effectiveness of artificial intelligence chatbots on mental health and well-being in college students: a rapid systematic review
10.3389/fpsyt.2025.1621768 · 2025
Factors influencing perceived benefits and behavioral intention to use mental health chatbots among professional employees: an empirical study
10.3389/fdgth.2025.1606273 · 2025
Help-seeking in the age of AI: cross-sectional survey of the use and perceptions of AI-based mental health support among US adults
10.2196/88196 · 2026
Barriers and facilitators to the use of large language model-based conversational agents in mental healthcare: a systematic review
10.3390/healthcare14101267 · 2026
No additional external references are available.