Evidence map›Paper›PMID 41867882›Full record

ArticleAdvances in medical education and practice2026

Medical Students' Perceptions and Attitude Toward the Use of Artificial Intelligence in Healthcare.

Amna Albusmait, Aseel AlSaleh, Jamil Ahmed

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Amna AlbusmaitCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.ORCID 0009-0007-6922-2380
Aseel AlSalehCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.ORCID 0000-0003-4652-2341
Jamil AhmedCollege of Medicine and Health Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain.ORCID 0000-0002-3635-7912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Artificial intelligence (AI) is rapidly transforming healthcare, with potential advancements in diagnostics, image analysis, and drug discovery. This study aimed to investigate how medical students in the Kingdom of Bahrain perceive AI and their understanding of its application. Methods: This study used a cross-sectional electronic survey design. A total of 350 responses were collected from students at Arabian Gulf University and the Royal College of Surgeons in Ireland in Bahrain. The survey was adopted from a previously validated instrument, assessed attitudes, knowledge, and confidence regarding AI using 5-point Likert scales and dichotomous questions. Statistical analysis was performed using SPSS, with a significance level of p<0.05. Results: We found that 86% of students believe AI will play a crucial role in future healthcare. While 37.7% were less inclined towards radiology due to AI, 46.9% believed that some specialties would be replaced. About 60.9% understood basic AI principles. About 82% agreed AI learning would benefit their careers. Only 24.6% had received AI teaching, which they found useful. Students with AI training demonstrated a stronger belief in AI's role (p=0.008) and the necessity of AI education (p=0.010) but were less likely to consider radiology (p=0.004). They also reported higher confidence in using AI tools (p=0.004). Conclusion: Medical students in Bahrain had positive views on AI's future in healthcare and recognize the importance of AI education. Students with AI training showed greater confidence in utilizing and understanding AI tools. These findings identify the critical need to integrate AI education into medical curricula to prepare future physicians for the evolving AI-driven medical landscape.

Indexed as

artificial intelligenceBahrainhealthcaremedical EducationMedical Educationmedical students

Identifiers

PMID41867882
PMCPMC13003955

What OpenQuestion holds

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LicenceCC BY-NC
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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.