Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives
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
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Al Jazīrah
-
Wad Medani, Al Jazīrah, Sudan, 14552
- Sudan Medical Specialization Board
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
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
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Alsadig Suliman, MBBS, Msc, Sudan Medical Specialization Board
Publications and helpful links
General Publications
- Alsaedi AR, Alneami N, Almajnoni F, Alamri O, Aljohni K, Alrwaily MK, Eid M, Budayr A, Alrehaili MA, Alghamdi MM, Almutairi ED, Eid MH. Perceived Worries in the Adoption of Artificial Intelligence Among Healthcare Professionals in Saudi Arabia: A Cross-Sectional Survey Study. Nurs Rep. 2024 Nov 28;14(4):3706-3721. doi: 10.3390/nursrep14040271.
- Fleming CA, Ali O, Clements JM, Hirniak J, King M, Mohan HM, Nally DM, Burke J; Association of Surgeons in Training (ASIT). Surgical trainee experience and opinion of robotic surgery in surgical training and vision for the future: a snapshot study of pan-specialty surgical trainees. J Robot Surg. 2022 Oct;16(5):1073-1082. doi: 10.1007/s11701-021-01344-y. Epub 2021 Nov 26.
- De Simone B, Abu-Zidan FM, Gumbs AA, Chouillard E, Di Saverio S, Sartelli M, Coccolini F, Ansaloni L, Collins T, Kluger Y, Moore EE, Litvin A, Leppaniemi A, Mascagni P, Milone L, Piccoli M, Abu-Hilal M, Sugrue M, Biffl WL, Catena F. Knowledge, attitude, and practice of artificial intelligence in emergency and trauma surgery, the ARIES project: an international web-based survey. World J Emerg Surg. 2022 Feb 10;17(1):10. doi: 10.1186/s13017-022-00413-3.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- SMSB-AI-SURG-SUDAN-2025
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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