NCT07138105

Artificial Intelligence in Surgical Practice in Sudan: National Survey of Doctors

Artificial Intelligence in Surgical Practice in Sudan: Feasibility, Barriers, and Ethical Perspectives From a National Cross-Sectional Survey of Doctors

• Status: Enrolling By Invitation
• Phase: —
• Study type: Observational
• Enrollment: 800 (estimated)
• Sponsor: Sudan Medical Specialization Board · Other Government
• Sex: All
• Age: —
• Healthy volunteers: Accepted

Summary

This is a national survey of doctors in Sudan who are involved in providing surgical care. The aim is to understand their awareness, experiences, and opinions about using artificial intelligence (AI) in surgery. The survey includes all cadres-house officers, medical officers, registrars, residents, specialists, consultants, and general practitioners who perform surgical procedures-working in public, private, NGO, and military hospitals across Sudan. Participants are asked about their familiarity with AI, barriers to its use (such as poor infrastructure, lack of training, or cost), interest in training, and possible uses in Sudan's health system, especially in conflict-affected areas. The study does not test any AI tools but collects information to help design future AI solutions that work offline, in low-bandwidth conditions, and meet the needs of surgeons and surgical teams in Sudan.

Conditions

• Surgical Procedures, Operative
• Artificial Intelligence (AI)
• Wounds and Injuries
• War Injury
• Health Services Accessibility
• Hospitals
• Developing Countries

Interventions

Type	Name	Description
OTHER	National AI in Surgical Practice Survey - Sudan	An online, cross-sectional national survey targeting Sudanese doctors who provide surgical care in any capacity. The survey collects data on awareness, prior experience, perceived benefits, barriers, and training needs for adopting artificial intelligence in surgical practice. Participants include house officers, medical officers, registrars/residents, specialists, consultants, and general practitioners performing surgical procedures in public, private, NGO, or military hospitals. The study does not involve the implementation or testing of AI tools but aims to inform the design of future AI solutions tailored for low-resource and conflict-affected health systems.

Timeline

• Start date: 2025-02-01
• Primary completion: 2025-12-20
• Completion: 2025-12-20
• First posted: 2025-08-22
• Last updated: 2025-08-22

Locations

1 site across 1 country: Sudan