Evidence map›Paper›PMID 42179831›Full record

ArticleJournal of medical education and curricular development

Artificial Intelligence in Healthcare: Awareness, Perceptions, and Future Perspectives of Palestinian Medical Students and Physicians.

Yaser Hamam, Maha AbuZarifa, Alaa Abushahla, Mohamed R Zughbur, Majd Hamam, Nada Hamam, Ola Abuolwan, Sulaiman Ewaida

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Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Yaser HamamFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.ORCID https://orcid.org/0000-0001-5108-3692
Maha AbuZarifaAl-Azhar Branch, Al-Quds University, Gaza, Palestine.ORCID https://orcid.org/0000-0003-3637-6221
Alaa AbushahlaFaculty of Medicine, Al-Quds University, Jerusalem, Palestine.
Mohamed R ZughburFaculty of Medicine, Al-Azhar University, Gaza, Palestine.
Majd HamamFaculty of Dentistry, Al Azhar University, Gaza, Palestine.
Nada HamamFaculty of Medicine, Cairo University, Cairo, Egypt.
Ola AbuolwanFaculty of Medicine, Islamic University of Gaza, Gaza, Palestine.
Sulaiman EwaidaFaculty of Medicine & Surgery, Ibn Sina University, Khartoum, Sudan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) is transforming healthcare by improving diagnostic accuracy, streamlining workflows, and supporting clinical decision-making. While global adoption is accelerating, successful integration depends on healthcare professionals' preparedness and acceptance. In low-resource settings such as Palestine, infrastructural limitations and lack of formal AI education may influence perceptions and readiness. Objective: This study evaluates the awareness, perceptions, and future expectations of Palestinian medical students and physicians regarding AI integration in healthcare. It also explores readiness for adoption and identifies educational gaps to support effective implementation. Methods: A cross-sectional survey was conducted among 915 participants (689 students, 226 physicians) from five universities and healthcare institutions across the West Bank and Gaza between December 2024 and January 2025. A structured, self-administered questionnaire assessed demographics, AI awareness, perceptions, and future perspectives. Data were analyzed using descriptive statistics. Ethical approval was obtained from Al-Azhar University. Results: Of the 915 respondents (689 students, 226 physicians), most had limited AI exposure-85.8% never attended AI-related events and 93.3% lacked curriculum coverage. Physicians showed higher event attendance (24.3%) than students (10.9%) (χ Conclusions: Palestinian medical students and physicians show growing interest in AI despite limited formal education and practical exposure. Both groups view AI as a supportive tool rather than a replacement for clinical judgment, while expressing concerns about ethical risks and technical limitations. Tailored educational strategies are essential to bridge knowledge gaps and promote responsible AI integration into medical practice.

Indexed as

artificial intelligencehealthcaremedical educationmedical studentspalestinian

Identifiers

PMID42179831
PMCPMC13195249

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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.