Medical Trainee Survey on AI in Healthcare, UAE 2026

A 2026 study by Asma F. Syeda examines knowledge, attitudes, and educational needs regarding AI in healthcare among medical and dental trainees in the United Arab Emirates. The dataset includes survey responses from 154 participants and qualitative interview data from 16 individuals. It is published under a CC-BY-4.0 license on figshare.

Use Cases

• Analyzing perceived value and normalization of AI in clinical workflows based on qualitative interview themes.
• Assessing educational needs and readiness for AI among medical trainees based on survey results.
• Studying concerns related to trust, human oversight, and ethical governance of AI in medicine based on reported themes.

Strengths

• Includes a mixed-methods design with 154 survey responses and 16 in-depth interviews.
• Focuses on a specific geographic region (United Arab Emirates) and population (medical trainees).
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is a 282.6 KB PDF; the underlying raw survey or interview data is not provided in a structured, machine-readable format.
• Row count and column-level documentation for any underlying data are unknown.
• The sample size of 154 survey respondents and 16 interviewees may limit generalizability.

Provenance

Source

figshare, author Asma F. Syeda.

Collection Method

Explanatory sequential mixed-methods design using an online survey and semi-structured interviews.

Freshness

Last updated 2026-06-02 04:21:29.

Geography

United Arab Emirates (UAE).