Artificial Intelligence (AI), Developing Countries, Health Services Accessibility, Hospitals, Surgical Procedures, Operative, War Injury, Wounds and Injuries
Conditions
Keywords
Artificial Intelligence, Surgery, Sudan, National Survey, Surgical Practice, Health System Resilience, Conflict Zones, Low-Resource Settings, Triage, Telemedicine, Surgical Education, Offline AI Tools
Brief 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.
Interventions
OTHERNational 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.
Sponsors
Sudan Medical Specialization Board
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
* Sudanese doctors currently practicing in Sudan. Provides surgical care in any capacity (house officer/intern, medical officer, registrar/resident, specialist/consultant, general practitioner performing surgical procedures). * Works in any sector: public, private, NGO, or military hospital/clinic.
Exclusion criteria
* Not currently practicing in Sudan. * Non-clinicians, students without surgical patient care roles. * Duplicate or incomplete survey responses.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Awareness of Artificial Intelligence in Surgical Practice Among Doctors in Sudan | At survey completion (Feb 2025 - Dec 2025) | Percentage of Sudanese doctors providing surgical care who report being aware of artificial intelligence applications in surgical practice. Awareness will be measured using a validated questionnaire adapted from established AI readiness and awareness tools, covering familiarity with AI concepts, knowledge of clinical applications, and perceived relevance to surgical care in Sudan |
Countries
Sudan
Outcome results
None listed