AI and ChatGPT Literacy Survey of Surgical Professionals in Jordan

A cross-sectional survey of 93.2% of participants lacking formal AI training, conducted among medical students, surgical residents, and consultants/specialists in Jordan. The study, authored by Yasmin Safi and last updated in May 2026, assessed AI literacy, ChatGPT literacy, attitudes, and perceived barriers to AI integration in surgical practice. It used a structured online questionnaire with high internal consistency (Cronbach's α 0.846–0.930).

Use Cases

• Analyze differences in AI literacy and perceived utility based on professional role (student, resident, consultant) as described in the results.
• Identify key barriers to AI adoption in surgery, such as lack of training and ethical concerns, mentioned in the study findings.
• Study correlations between prior ChatGPT experience and attitudes toward clinical AI application, as the survey measured both.
• Benchmark ethical awareness scores across different surgical professional groups using the reported MAIL_AI_Ethics subscale.

Strengths

• Survey instrument demonstrated high internal consistency with Cronbach's α ranging from 0.846 to 0.930.
• Study design used stratified random sampling with proportional allocation to ensure representative participation across professional strata.
• Results include specific statistical comparisons (e.g., p-values) and mean scores for different professional groups.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is limited to a single geographic region (Jordan), which may affect generalizability.

Provenance

Source

Yasmin Safi via figshare

Collection Method

Cross-sectional survey using a structured online questionnaire.

Freshness

Last updated 2026-05-19 05:38:23; freshness should be verified.

Geography

Jordan