Evidence map›Paper›PMID 39118720›Full record

ArticleAnnals of medicine and surgery (2012)2024

Knowledge, attitude, and practice of artificial intelligence applications in medicine among physicians in Sudan: a national cross-sectional survey.

Mohammed Hammad Jaber Amin, Gasm Alseed Abdelmonim Gasm Alseed Fadlalmoula, Musab Awadalla Mohamed Elhassan Elmahi, Noon Hatim Khalid Alrabee, Lina Hemmeda, Mohammed Haydar Awad, Ghassan E Mustafa Ahmed, Khabab Abbasher Hussien Mohamed Ahmed

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Perception and challenges of artificial intelligence (AI) in Emergency Medicine: A multi-country study in Sub-Saharan Africa.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Mohammed Hammad Jaber AminFaculty of Medicine, Alzaiem Alazhari University.
Gasm Alseed Abdelmonim Gasm Alseed FadlalmoulaFaculty of Medicine, Shendi University, Shendi.
Musab Awadalla Mohamed Elhassan ElmahiFaculty of Medicine, Alzaiem Alazhari University.
Noon Hatim Khalid AlrabeeFaculty of Medicine, University of Khartoum, Khartoum.
Lina HemmedaFaculty of Medicine, University of Khartoum, Khartoum.
Mohammed Haydar AwadFaculty of Medicine, Karary University, Omdurman, Sudan.
Ghassan E Mustafa AhmedFaculty of Medicine, University of Khartoum, Khartoum.
Khabab Abbasher Hussien Mohamed AhmedFaculty of Medicine, University of Khartoum, Khartoum.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Artificial intelligence (AI) has emerged as a rapidly developing tool within the medical landscape, globally aiding in diagnosis and healthcare management. However, its integration within healthcare systems remains varied across different regions. In Sudan, there exists a burgeoning interest in AI potential applications within medicine. This study aims to evaluate the knowledge, attitudes, and practices of AI applications in medicine among physicians in Sudan. Methods: The authors conducted a web-based survey cross-sectional analytical study using an online questionnaire-based survey regarding demographic details, knowledge, attitudes, and practice of AI distributing through various e-mail listings and social media platforms. A sample of 825 Physicians including doctors in Sudan with different ranks and specialties were selected using the convenient non-probability sampling technique. Result: Out of 825 Physicians, 666 (80.7%) of Physicians have previous knowledge about AI. However, only a small number 123 (14.9%) were taught about AI during their time in medical school, even fewer, just 120 (14.5%) had AI-related lessons in their training program. Regarding attitude, 675 (81.8%) agree that AI is very important in medicine, almost the same number, 681 (82.6%) support the idea of teaching AI in medical schools. Practically, 535 (64.8%) of doctors, think that should get special training in using AI tools in healthcare. Excitingly 651 (78.9%) of physicians are interested in working with AI in future. Based on different ranks of doctors toward AI; Medical Officers exhibited the highest proportion at (32.7%) of knowledge and understanding of AI concepts, followed by House Officers at (16.7%) ( Conclusion: While there is a positive attitude and some level of AI practice, there remains a considerable gap in knowledge that needs addressing.

Indexed as

AIartificial intelligenceKAP studiesphysiciansSudan

Identifiers

PMID39118720
PMCPMC11305753

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.