Evidence map›Paper›PMID 41033763›Full record

ArticleBMJ open2025

Knowledge, attitude and practice of artificial intelligence among dietitians in Saudi Arabia: a cross-sectional study.

Amani Alhazmi, Mai Ibrahem, Adam Dawria

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Article in BMJ open, 2025. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

3 authors.

Amani AlhazmiPublic Health, King Khalid University, Abha, Saudi Arabia Amanialhazmi@kku.edu.sa.ORCID http://orcid.org/0000-0002-4062-1640
Mai IbrahemPublic Health, King Khalid University, Abha, Saudi Arabia.
Adam DawriaPublic Health, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study assesses the knowledge, attitudes and practices (KAP) of licensed dietitians in Saudi Arabia regarding artificial intelligence (AI) in dietetics and identifies sociodemographic factors associated with higher AI knowledge and use, along with perceived benefits and concerns.

designDescriptive, cross-sectional study with an analytical component.

settingConducted online across Saudi Arabia, targeting licensed dietitians in public and private healthcare sectors.

participants161 licensed dietitians completed the study. Inclusion criteria consisted of current registration and active practice in either clinical or community settings. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcomes were levels of AI-related KAPs assessed via a structured questionnaire. The secondary outcomes examined associations between KAP and demographic factors.

resultsAmong participants, 62.7% reported using AI in practice; 72.3% found it easy to use and 63.4% believed it improved their work. Higher knowledge was significantly linked to being aged 24-40, female, married, Saudi, a university graduate and employed (p<0.05). Positive attitudes were more prevalent among dietitians aged 31-40 and university graduates. Key perceived applications included nutrition programme development (88.2%), meal image analysis (84.4%) and personalised diet planning (83.9%). Significant concerns were loss of human touch (87.6%) and reduced personal interaction (83.9%).

conclusionsDietitians in Saudi Arabia generally recognise AI's value in dietetic practice, particularly in programme development and personalisation. However, concerns about diminished human interaction remain. Structured training and further longitudinal research are recommended to support balanced AI integration.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelDieteticsHealth Knowledge, Attitudes, PracticeNutritionistsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSaudi ArabiaSurveys and QuestionnairesYoung AdultArtificial IntelligenceAttitudeKnowledge

Identifiers

PMID41033763
PMCPMC12496086

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LicenceCC BY-NC
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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.