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Artificial Intelligence in Surgical Practice in Sudan: National Survey of Doctors (NASAPS)

S

Sudan Medical Specialization Board

Status

Invitation-only

Conditions

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

Treatments

Other: National AI in Surgical Practice Survey - Sudan

Study type

Observational

Funder types

Other

Identifiers

NCT07138105
MOH-NAT-SURG-AI-2025

Details and patient eligibility

About

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.

Enrollment

800 estimated patients

Sex

All

Volunteers

Accepts Healthy Volunteers

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.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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