Evidence map›Paper›PMID 42181435›Full record

ReviewCureus2026

Harnessing ChatGPT for Medical Education: A Narrative Review.

Biswajit Dey, Himesh Barman, Bishwajeet Saikia, Amitav Sarma

Abstract readReview
In one paragraph

Review in Cureus, 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

4 authors.

Biswajit DeyPathology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, IND.
Himesh BarmanPaediatrics, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, IND.
Bishwajeet SaikiaAnatomy, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, IND.
Amitav SarmaAnatomy, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is rapidly transforming medical education by introducing innovative, learner-centered approaches. ChatGPT, a generative AI tool, has demonstrated significant potential in enhancing teaching, learning, assessment, and curriculum design. This narrative review provides a comprehensive overview of the applications, benefits, and limitations of ChatGPT in medical education. A literature search was conducted in PubMed and Google Scholar for studies published up to 2025, focusing on ChatGPT, AI, and medical education. Relevant peer-reviewed articles, including original studies and reviews, were analyzed and synthesized qualitatively. ChatGPT serves as a valuable tool for medical educators by facilitating the generation of teaching materials, assisting curriculum development, and supporting assessment and feedback. For learners, it functions as a virtual tutor, promoting self-directed learning through interactive explanations, clinical simulations, and self-assessment tools. Its ability to provide personalized, real-time, and multilingual support makes it particularly relevant in diverse and resource-constrained settings. In the Indian context, ongoing digital education initiatives further enhance the applicability of such technologies, improving accessibility and scalability of learning. However, several limitations exist, including the risk of inaccurate or misleading information, potential bias, concerns regarding academic integrity, data privacy issues, and over-reliance affecting critical thinking skills. In conclusion, ChatGPT represents a promising adjunct in medical education, offering opportunities to enhance learning experiences and educational efficiency. Nevertheless, its integration should be guided by appropriate oversight, ethical considerations, and active involvement of educators to ensure safe and effective use.

Indexed as

artificial intelligencechatgptdigital learninglarge language modelsmedical education

Identifiers

PMID42181435
PMCPMC13198158

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.