Knowledge, attitude and practice of medical students in Sudan about Artificial Intelligence in Radiological Image Analysis in 2024–2025
Knowledge, attitude and practice of medical students in Sudan about Artificial Intelligence in Radiological Image Analysis in 2024–2025
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Date
2025
Authors
Omar Hamed Ali
Faiha Taha Musa Musa Almagbol
Abass Himida Hamouri Mohamed
Abass Himida Hamouri Mohamed
Manahil Ahmed Musa Khoglay
Journal Title
Journal ISSN
Volume Title
Publisher
Napata College
Abstract
Background: Now days, Artificial Intelligence is one of the increasingly integrated areas
in the field of image analysis, pathology and ophthalmology, offering enhanced
diagnostic accuracy and efficiency. Despite the advantage of AI, the readiness of future
healthcare professionals to use and accept those changes, and the fear of human labor
been replaced with AI, remains unclear especially in area of low resource like Sudan.
Objective: This study aims to assess the knowledge, attitudes and practices (KAP) of
medical students in Sudan regarding the use of AI in radiological image analysis.
Methods: A cross-sectional study was conducted among the medical students at
Sudanese universities, Data was collected using a structured questionnaire forum shared
with the willing students to participate, to assess their KAP exposure to AI in radiology.
Results: the surveyed 311 participants, with 206 (66.45%) are female and 105 (33.55%)
are male. Ranged in the age of above 21 to the age of 44, in the 4th, 5th and graduate
years, showed a significant variety and association between Gender and Familiarity with
AI and as well as between Education and Familiarity, AI was perceived as non
beneficial in about 70.21% of the participant answering “No” and only 29.79% answered
“YES”, 44.4% were concerned about cost implementation while 25% about privacy, as
only 26.9% reported that it help in early detection and 25% in reducing overload from
radiologist.
Conclusion: Even though Participant recognize the AI as a valuable tool in Radiology
but still the uncertainty in the area of cost of implementing (44.4%) and data privacy
(25%) was a big concern letting about 70% to say NO to the beneficial aspect of AI, with
The Likert scale questions showed a neutral to slightly positive response about the utility
safety and integration of AI in medical image analysis, however internal consistency was
very low about Cronbach’s alpha=0.26, indicating a divergent view across individual
items.
Key Words: Artificial Intelligence, Radiology, Medical Students, Knowledge, Attitude,
Practice, Sudan.
Description
Napata College