Evidence map›Paper›PMID 41468448›Full record

ArticlePLOS global public health2025

Experiences of nursing and medical students with the use of Artificial Intelligence tools such as ChatGPT in Uganda.

Ritah Nantale, Frank Kayemba, Kennedy Paungholi, Joshua Epuitai, Brian Jemba, Elizabeth Ajalo, Adam Afodun, Milton W Musaba, Ian G Munabi, Sarah Kiguli and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 2025. 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. Reflection: AI as a catalyst for change in postgraduate medical education.Journal of the colleges of medicine of South Africa · 2026
    Article
  2. Review
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

12 authors.

Ritah NantaleFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Frank KayembaFaculty of Health Sciences, Busitema University, Mbale, Uganda.ORCID https://orcid.org/0009-0001-2296-0200
Kennedy PaungholiFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Joshua EpuitaiFaculty of Health Sciences, Busitema University, Mbale, Uganda.ORCID https://orcid.org/0000-0002-7148-5928
Brian JembaFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Elizabeth AjaloFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Adam AfodunFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Milton W MusabaFaculty of Health Sciences, Busitema University, Mbale, Uganda.
Ian G MunabiCollege of Health Sciences, Makerere University, Kampala, Uganda.
Sarah KiguliCollege of Health Sciences, Makerere University, Kampala, Uganda.
Aloysius Gonzaga MubuukeCollege of Health Sciences, Makerere University, Kampala, Uganda.
David MukunyaFaculty of Health Sciences, Busitema University, Mbale, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical and nursing students widely use ChatGPT and other artificial intelligence (AI) for their educational and learning needs. However, there are concerns of misuse and abuse of AI tools in medical education. We explored the experiences of medical students with the use of ChatGPT and other AI tools in education. This was a qualitative descriptive study to explore experiences of medical students, including students of Bachelor of Medicine and Surgery, Bachelor of Science in Nursing, and Bachelor of Science in Anaethesia at Busitema University in Uganda. We conducted five focus group discussions comprising 8-10 participants and 7 in-depth interviews. Participants were purposively selected across the three programs and were spread across the different years of study. Data were analyzed using thematic analysis with the aid of Atlas ti.9 software. Four themes were identified: 1) experiences of students with the use of AI; 2) perceived benefits of AI tools; 3) concerns regarding AI use; and 4) recommendations for responsible AI use. Students noted experiences with using AI as an initial source of information, while some used it as a last resort or concurrently with other traditional sources of information. AI was used for various learning needs, including preparing for tutorials and examinations, writing research proposals, and answering examination questions. Perceived benefits included enhanced learning, readily access to accurate and simplified information, saves time, provides immediate feedback, and improving scholarly writing and preparation for examinations. Students' concerns with AI use included questionable accuracy, credibility, unreliability, inherent AI limitations, and problems arising from over-reliance on AI. Modifying examinations and assessments, changing attitude towards AI use, and using other resources alongside AI were recommended to result in responsible AI use. Participants had positive perceptions about the use of AI but also expressed fears regarding its use in medical education. Structured curricula, formal policies, and guidelines are needed to adequately prepare medical students for the integration of AI in medical education.

Identifiers

PMID41468448
PMCPMC12753054

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.