Evidence map›Paper›PMID 42387338›Full record

ArticleBMC medical education2026

Dissecting interprofessional anatomy education: insights from AI-driven assessment.

Shirley Quach, Ethan Michalenko, Trinity Stodola, Josh P Mitchell, Bruce Wainman, Sarah Wojkowski, Yasmeen Mezil

Abstract read
In one paragraph

Article in BMC medical education, 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
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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

7 authors.

Shirley QuachSchool of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Canada. quachi1@mcmaster.ca.ORCID http://orcid.org/0000-0001-5693-3182
Ethan MichalenkoMichael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada.
Trinity StodolaTemerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Josh P MitchellEducation Program in Anatomy and Surgical Skills Center, McMaster University, Hamilton, Canada.
Bruce WainmanEducation Program in Anatomy and Surgical Skills Center, McMaster University, Hamilton, Canada.ORCID http://orcid.org/0000-0001-7616-961X
Sarah WojkowskiSchool of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Canada.ORCID http://orcid.org/0000-0002-8103-0281
Yasmeen MezilSchool of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Canada.ORCID http://orcid.org/0009-0008-4335-3873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2024, an 8-week IPE human anatomy dissection elective was offered to first-year students from various health professional programs. Past renditions of this elective were effective at improving IPE readiness and collaboration. However, previous studies did not evaluate the elective's impact on students' anatomical knowledge. Therefore, the objective of this study was to evaluate students' anatomical knowledge before and after the IPE anatomy dissection elective. Artificial intelligence (AI) objective structured practical examination (OSPE) was used as a formative assessment.

methodsEnrolled students were invited to complete the online AI OSPE pre- and post-tests. The AI OSPE pre- and post-tests consisted of 10 anatomical topics with three questions each (30 total questions). AI grading for each question was manually verified by the team. Total and topic pre- and post-test scores were reported as median percentages with quartiles and compared using the Wilcoxon signed rank test (p < 0.05 as statistically significant).

resultsA total of 35 first-year students and 10 student mentors participated in this elective and were invited to participate. Twenty-four participants (21 first-year students and 3 mentors) completed the pre- and post-tests. The median total AI OSPE scores before and after the elective were 45.0% (35.8%, 63.3%) and 60.0% (45.8%, 70.8%), p = 0.0041. Changes in median scores for neuroanatomy was 66.7% (33.3%, 75.0%) vs. 100% (66.7%, 100.0%), and for reproductive anatomy was 0.0% (0.0%, 41.7%) vs. 66.7% (33.3%, 66.7%), p < 0.01.

conclusionThis evaluation demonstrated that the IPE elective was associated with changes in students' anatomical knowledge, especially in a few specialized topics. The AI OSPE can offer support in students' learning and serve as a convenient proxy to assess anatomy knowledge. Future studies need to verify whether participants' changes in anatomy knowledge are sustained beyond the elective and to optimize AI integration into future IPE and anatomy curricula.

Indexed as

AnatomyArtificial IntelligenceDissectionEducational MeasurementEducation, Medical, UndergraduateInterprofessional EducationCurriculumHumansAnatomyAnatomy educationAutomated gradingBell ringersHealth sciencesInterprofessionalIPEObjective structured practical examination

Identifiers

PMID42387338
PMCPMC13591676

What OpenQuestion holds

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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.