Evidence map›Paper›PMID 35105606›Full record

ArticleBMJ health & care informatics2022

Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland.

Charlotte Blease, Anna Kharko, Michael Bernstein, Colin Bradley, Muiris Houston, Ian Walsh, Maria Hägglund, Catherine DesRoches, Kenneth D Mandl

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
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  16. A Symbolic AI Approach to Medical Training.Journal of medical systems · 2025
    Article
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  18. Article
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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

9 authors.

Charlotte BleaseDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA cblease@bidmc.harvard.edu.ORCID http://orcid.org/0000-0003-3657-2476
Anna KharkoFaculty of Health and Human Sciences, University of Plymouth, Plymouth, UK.ORCID http://orcid.org/0000-0003-0908-6173
Michael BernsteinSchool of Public Health, Brown University, Providence, Rhode Island, USA.
Colin BradleySchool of Medicine, University College Cork, Cork, Ireland.
Muiris HoustonSchool of Medicine, National University of Ireland Galway, Galway, Ireland.
Ian WalshSchool of Medicine, Dentistry and Biomedical Sciences, Queen's University, Belfast, Belfast, Northern Ireland, UK.
Maria HägglundDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Catherine DesRochesDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
Kenneth D MandlHarvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Education, MedicalStudents, MedicalHumansIrelandMachine LearningSurveys and Questionnairesartificial intelligencemachine learning

Identifiers

PMID35105606
PMCPMC8808371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.