Evidence map›Paper›PMID 41635811›Full record

ArticlePeerJ2026

Preparing for an AI-driven future: insights from Saudi pharmacy students.

Dalia Almaghaslah, Arwa Khaled, Shadma Wahab, Geetha Kandasamy

Abstract read
In one paragraph

Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Dalia AlmaghaslahDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, ABHA, Saudi Arabia.
Arwa KhaledDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, ABHA, Saudi Arabia.
Shadma WahabDepartment of Pharmacogonosy, College of Pharmacy, King Khalid University, ABHA, Saudi Arabia.
Geetha KandasamyDepartment of Clinical Pharmacy, College of Pharmacy, King Khalid University, ABHA, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The current study was conducted to assess pharmacy students outlook towards artificial intelligence (AI), pharmacy education, and pharmacy practice. Methods: The study used a cross-sectional, self-administered, anonymous online questionnaire. The study was conducted at the college of pharmacy in Saudi Arabia. Participants: Year 4 and year 5 undergraduate pharmacy students were chosen as the study population. Results: A total of 133 pharmacy students completed the survey (response rate: 82%). The mean Likert score for perceptions of AI use in pharmacy education and practice was 3.43 ± 0.6, while the mean score for incorporation of AI in pharmacy education programs was 3.55 ± 0.78. Students demonstrated generally positive attitudes toward AI, supporting its development and integration into pharmacy curricula, though ethical awareness remained moderate. Discussion and Conclusion: Most students were supportive of the development of AI in the pharmacy field and valued the importance of having some basic understanding of AI. Ethical and legal consideration of AI used was raised by participants. They were supportive of integrating AI into pharmacy program curricula. Their top-rated learning objectives involved understanding and interpreting AI generated results, gaining awareness of ethical consideration of using AI in clinical practice, comprehend how basic technology process the work, expressing how technology functions in a way that others can grasp.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelEducation, PharmacyStudents, PharmacyAdultCross-Sectional StudiesCurriculumFemaleHumansMaleSaudi ArabiaSurveys and QuestionnairesYoung AdultAIArtificial intelligenceChatGPTPharmacy studentsSaudi Arabia

Identifiers

PMID41635811
PMCPMC12863167

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.