Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives

August 22, 2025 updated by: Alsadig Suliman, Sudan Medical Specialization Board

Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives From a Conflict Zone

This study is designed to examine how artificial intelligence (AI) could be applied to support surgical care in Sudan during the ongoing armed conflict. The conflict has disrupted hospital operations, displaced surgical teams, and limited access to specialists and modern technology. The investigators are conducting a survey of Sudanese surgeons working in public, private, military, and conflict-zone hospitals to assess awareness of AI, interest in its application, and perceived challenges. In addition, in-depth interviews with senior surgeons and residents are being performed to further explore perspectives on AI in surgical care.

This study represents one of the first attempts to investigate the role of AI in surgery within an active conflict setting in Africa. Findings from this research are expected to inform the design of AI tools that are tailored for fragile health systems, including offline and low-bandwidth environments.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

185

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Al Jazīrah
      • Wad Medani, Al Jazīrah, Sudan, 14552
        • Sudan Medical Specialization Board

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

General surgery residents and consultants practicing in Sudan during the ongoing armed conflict, representing public, private, military, NGO, and conflict-zone hospitals across multiple regions. Participants include surgeons at various training levels, from early-year residents to senior consultants.

Description

Inclusion Criteria:

  • Sudanese general surgery residents or consultants.
  • Currently working in public, private, military, NGO, or conflict-zone hospitals within Sudan.
  • Able to provide informed consent.

Exclusion Criteria:

  • Surgeons working outside Sudan.
  • Non-surgical medical specialties.
  • Inability or unwillingness to complete the survey or participate in interviews.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Awareness of Artificial Intelligence in Surgical Care Among Sudanese Surgeons
Time Frame: At survey completion (October 2024 - June 2025)
Measured using a structured questionnaire including domains of familiarity with AI concepts, perceived benefits, and potential applications in perioperative care. Responses are recorded on a 5-point Likert scale ranging from 1 (not at all familiar/beneficial/applicable) to 5 (very familiar/beneficial/applicable). Higher scores indicate greater awareness and more positive perceptions.
At survey completion (October 2024 - June 2025)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Alsadig Suliman, MBBS, Msc, Sudan Medical Specialization Board

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2024

Primary Completion (Actual)

June 1, 2025

Study Completion (Actual)

June 1, 2025

Study Registration Dates

First Submitted

August 15, 2025

First Submitted That Met QC Criteria

August 22, 2025

First Posted (Estimated)

August 29, 2025

Study Record Updates

Last Update Posted (Estimated)

August 29, 2025

Last Update Submitted That Met QC Criteria

August 22, 2025

Last Verified

August 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • SMSB-AI-SURG-SUDAN-2025

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Individual participant data (IPD) will not be shared because the dataset contains sensitive information collected from healthcare professionals working in conflict-affected regions. Sharing could risk identification of participants despite anonymization, given the small and specialized population.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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