Evidence map›Paper›PMID 39479104›Full record

ArticleCureus2024

Medical Students' Perception Toward Using AI in Medical Education in the Kurdistan Region, Iraq: A Cross-Sectional Study.

Dawan J Hawezy, Kochr A Mahmood, Gasheen A Hawezy, Govand S Sadraldeen, Saddon T Ahmad

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Dawan J HawezySurgery, Koya University, Koya, IRQ.
Kochr A MahmoodMedicine, Koya University, Koya, IRQ.
Gasheen A HawezyMedicine, Koya University, Koya, IRQ.
Govand S SadraldeenMedicine, Koya University, Koya, IRQ.
Saddon T AhmadMedicine, Koya University, Koya, IRQ.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim AI is revolutionizing medical education by offering innovative tools and simulations that augment traditional teaching methods. This study explored the perceptions and expectations of medical students in the Kurdistan region, Iraq, regarding AI integration in medical education. Methods A cross-sectional online survey collected data from 224 medical students over four months. A descriptive analysis was conducted to present the student's attitudes.  Results In total, 224 medical students responded to the online survey. The majority of them were female (n=129; 57.6%), while 95 were male (42.4%). Additionally, most of the participants were in stage 4 (54 (24.1%); stage 1, 48 (21.4%); and stage 2, 43 (19.2%). In terms of measuring students' perceptions of AI integration in medical education, 186 (83%) of the students wanted to use smartphones and tablets, and 38 (17%) of them reported wanting hard copies. In addition, 112 (50%) of the medical students considered themselves experts in using AI and 98 (43.8%) did not know exactly what AI was used; however, only a few of them (6.3%) did not use AI. Few patients reported using Manikins instead of real patients (42 (18.8%)), while 140 (62.5%) reported that they could be used but not an alternative. Conclusion While many agree that digital tools and simulations are useful teaching tools, they are frequently viewed as adjunctive approaches. Better integration and training are required for the infrequent use of AI tools in medical education.

Indexed as

aikurdistan regionmedical educationmedical studentsperception

Identifiers

PMID39479104
PMCPMC11524511

What OpenQuestion holds

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LicenceCC BY
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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.