± SPORTS Machine learning (ML) applications continue to grow in popularity across the sport industry, offering new opp…+ LABOR As governments worldwide seek to modernise public administration through digital technologies, understanding…± HEALTH Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and…± HEALTH (1) Background/Objectives: Over one billion individuals globally live with mental health conditions, yet the…± HEALTH Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragm…− HEALTH ChatGPT Health was launched in January 2026 as OpenAI's consumer health tool and has reached millions of user…+ EDUCATION This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical…+ POLICY This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with k…
TruaceTracing the truth around AIMonday, July 13, 2026
Subscribe
TRV-2026-0184Certified recordPeer-reviewed

Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar

Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and intervention. Notably, most studies of AI in mental health have been performed in Western contexts, with limited evidence from the Arab Gulf region, where cultural factors such as stigma, privacy, and help-seeking norms may influence acceptance. Objective: Investigating university students’ perceptions of AI in mental health support, including awareness, trust, readiness, and preferences in a Gulf context…

Health · The Trace — both readings · certified 2026-07-13 · v1 · article view · machine-readable

Current reading — gain

University students in Qatar reported willingness to use AI-based mental health tools for stress management as a complement to human care, valuing lower cost and round-the-clock access.

Current reading — problem

Students in Qatar reported low-to-moderate trust in AI-based mental health tools and concerns about loss of human interaction, overreliance on technology, and diagnostic accuracy.

What this doesn’t fix

Findings are from a preliminary cross-sectional survey of 220 students in one Gulf country, limiting generalizability beyond this student population and time point.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-0184, v1: “Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar.” Truvace, 2026-07-13. /record/TRV-2026-0184 (accessed at citation time). sha256 225fe79380acb87e…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv1225fe79380ac…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0184 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.