Survey on AI in Healthcare: Medical Trainee Knowledge and Attitudes in the UAE

154 survey responses and 16 qualitative interviews from medical and dental trainees in the United Arab Emirates, collected by Asma F. Syeda. The study examines knowledge, attitudes, and educational needs regarding artificial intelligence in healthcare, with data last updated in June 2026.

Use Cases

• Analyze perceived value and normalization of AI in clinical workflows based on qualitative themes.
• Assess educational needs for AI integration based on survey responses about formal training.
• Study trust and human oversight concerns in AI-assisted healthcare based on interview data.
• Identify ethical and system-level preconditions for AI adoption based on trainee perspectives.

Strengths

• Mixed-methods design combining 154 survey responses with 16 in-depth interviews.
• Focus on a specific population (medical and dental trainees in the UAE) with clear study objectives.
• Data is openly licensed under CC-BY-4.0, facilitating reuse.

Limitations

• Row count for the underlying survey data is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the PDF report.
• The dataset is small (205.9 KB), indicating a limited scope focused on a specific study.

Provenance

Source

Asma F. Syeda via figshare

Collection Method

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

Freshness

Last updated 2026-06-02 04:21:28; freshness should be verified.

Geography

United Arab Emirates