Evidence map›Paper›PMID 41431537›Full record

ArticleCureus2025

Exploring Medical Students' Perspectives on Artificial Intelligence in Medical Education: A Knowledge, Attitude, and Practice Study Conducted at Jinnah Medical College, Pakistan.

M Hassaan Shah, Muhammad Faizan, Farooq Akbar, Hooriya Nasir, Abdul A Saddiqui, Yasir Fazal, Lalunu Abid, Syed M Haider Maroof, Samar Hasnain, Sana Bibi and 2 more

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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.

M Hassaan ShahGeneral Medicine, Khyber Teaching Hospital, Khyber Medical College, Peshawar, PAK.
Muhammad FaizanMedicine, Jinnah Medical College, Peshawar, PAK.
Farooq AkbarGeneral Surgery, Lady Reading Hospital, Peshawar, PAK.
Hooriya NasirMedicine, Jinnah Medical College, Peshawar, PAK.
Abdul A SaddiquiMedicine, Jinnah Medical College, Peshawar, PAK.
Yasir FazalMedicine, Jinnah Medical College, Peshawar, PAK.
Lalunu AbidMedicine, Jinnah Medical College, Peshawar, PAK.
Syed M Haider MaroofMedicine, Jinnah Medical College, Peshawar, PAK.
Samar HasnainGeneral Medicine, Khyber Teaching Hospital, Khyber Medical College, Peshawar, PAK.
Sana BibiMedicine, Jinnah Medical College, Peshawar, PAK.
Hoorain NasirMedicine, Jinnah Medical College, Peshawar, PAK.
Fatima BibiMedicine, Jinnah Medical College, Peshawar, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe present research aimed to investigate medical students' views regarding the use of artificial intelligence (AI) in medical education and to study its impact on their annual examination percentages. STUDY DESIGN AND

settingThis was a cross-sectional study conducted at Jinnah Medical College, Peshawar, Pakistan.

participantsA total of 200 medical students from various academic years were enrolled in the study using a convenience sampling technique. Students who declined to provide consent were not included in the study.

resultsWithin the study population, 52 (26%) reported having a high level of knowledge regarding AI, whereas 55 (27.5%) considered their knowledge to be limited. While 166 (83.5%) participants acknowledged awareness of AI applications, only 52 (26%) had received formal education or training in AI during their medical studies. Additionally, 142 (71%) participants believed that AI has the potential to enhance medical education, and 118 (59%) reported prior use of AI tools for study or research purposes.

conclusionThis study highlights that although medical students have a strong awareness of the use of AI, they lack in-depth understanding and formal training. The findings emphasize the need to integrate structured AI education into medical curricula to prepare future healthcare professionals for effective and safe use of AI in academic and clinical practice.

Indexed as

artificial intelligenceattitudeknowledgemedical studentspractice

Identifiers

PMID41431537
PMCPMC12718628

What OpenQuestion holds

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LicenceCC BY
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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.