Evidence map›Paper›PMID 42222272›Full record

ReviewAdvances in medical education and practice2026

Enhancing Medical Education: The Role of Artificial Intelligence Tools in the Teaching-Learning Process.

Zahra Kalhori, Razyeh Bajoulvand, Mehdi Zahedian, Shiva Malgard, Maryam Aalaa, Shadi Asadzandi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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. 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

6 authors.

Zahra KalhoriDepartment of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-3428-6575
Razyeh BajoulvandStudent Research Committee, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-7008-9851
Mehdi ZahedianStudent Research Committee, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-8827-8490
Shiva MalgardDepartment of Medical Library and Information Science, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-6846-8695
Maryam AalaaDepartment of Medical Education, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-8664-3733
Shadi AsadzandiHealth Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-1350-9629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the role of artificial intelligence (AI) tools in enhancing the teaching-learning process in medical education through a scoping review. Methods: This study was conducted as a scoping review. A comprehensive search of published articles was performed across multiple databases, including Scopus, PubMed, Web of Science, Embase, ERIC, Emerald, and IEEE, covering the period from 2000 to 2024. After removing duplicate records using EndNote software, titles and abstracts were screened, followed by full-text evaluation. The quality of the included studies was assessed using the Critical Appraisal Skills Programme (CASP), and reporting was conducted in accordance with the PRISMA-ScR guidelines. Results: The findings were categorized into four main themes: (1) domains of application of AI tools, (2) characteristics of AI tools in medical education, (3) applications and effectiveness of AI tools, and (4) challenges associated with AI use. Conclusion: The integration of AI into the teaching-learning process in medical education offers significant opportunities for developing innovative educational approaches. While AI enhances student engagement, learning outcomes, and satisfaction, it also introduces challenges such as ethical concerns, potential biases, and issues related to data privacy. Addressing these challenges is essential for the effective and responsible implementation of AI in medical education.

Indexed as

artificial intelligencelearningmedical educationstudentsteaching

Identifiers

PMID42222272
PMCPMC13218208

What OpenQuestion holds

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LicenceCC BY-NC
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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.