Data Sheet 4_Preparing tomorrow’s physicians for AI-driven healthcare: insights from a stu

Data Sheet 4 contains a mixed-methods study on medical and dental trainees' perceptions of AI in healthcare. The study includes quantitative survey data from 154 participants and qualitative interview data from 16 participants in the United Arab Emirates. The dataset, authored by Asma F. Syeda and last updated in June 2026, is a 110.5 KB PDF report.

Use Cases

• Analyze awareness levels and educational needs for AI among medical trainees based on survey responses.
• Study themes of trust, workflow integration, and human oversight in AI-driven healthcare based on qualitative interview analysis.
• Investigate the ethical and system-level preconditions for AI adoption in clinical education based on the reported themes.

Strengths

• Study employs a mixed-methods design with 154 survey respondents and 16 follow-up interviews for triangulation.
• Dataset is openly licensed under CC-BY-4.0, permitting reuse and redistribution.
• The description provides specific details on the study's objectives, methods, and key thematic results.

Limitations

• The dataset is a 110.5 KB PDF report; the underlying raw survey and interview data are not provided.
• Row count and column-level documentation for any underlying data tables are unknown.
• The geographic scope is limited to medical trainees in the United Arab Emirates.

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 04:21:29.

Geography

United Arab Emirates (UAE).