Evidence map›Paper›PMID 40587003›Full record

ArticleAnatomical science international2026

Reflections on "Enhancing heart anatomy education in middle schools": integrating artificial intelligence, educational equity, and instructional coherence.

Betül Digilli Ayaş

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In one paragraph

Article in Anatomical science international, 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

5 · Who and what money

Authors and funding

1 author.

Betül Digilli AyaşDepartment of Anatomy, Faculty of Medicine, Necmettin Erbakan University, Meram, 42090, Konya, Turkey. betuldigilli@gmail.com.ORCID http://orcid.org/0000-0002-5150-5987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of digital technologies into anatomy education continues to evolve, with virtual reality (VR) and mobile applications gaining traction in enhancing student engagement and conceptual understanding. Building upon the study by Koca and Çevik Özdemir (2025), which compares the effects of VR and tablet based tools on middle school students' learning of cardiac anatomy, this commentary explores additional dimensions that could further enrich the educational landscape, particularly the role of artificial intelligence (AI) in promoting instructional coherence and inclusivity. The commentary highlights a variety of AI-driven tools that have been established in the anatomy education literature, including adaptive learning platforms, large language models like ChatGPT, three-dimensional visualization environments, and digital cadaver systems such as the Anatomage Table. Moreover, the role of intelligent tutoring systems (e.g., Smart Tutor, Why2-Atlas), NLP-based platforms (e.g., IBM Watson Tutor, Ada), and AI-supported feedback systems is discussed in relation to their capacity to personalize learning experiences and enhance accessibility. Special attention is also given to pedagogical equity, addressing how AI can support students with diverse learning needs by dynamically tailoring instructional content. By synthesizing current findings and technological advancements, this commentary advocates for a more integrative approach to digital anatomy instruction, one that merges immersive technologies with responsive AI systems to foster deeper understanding, learner autonomy, and broader educational inclusion.

Indexed as

AnatomyArtificial IntelligenceComputer-Assisted InstructionHeartHumansLearningSchoolsVirtual RealityAdaptive learningAnatomy educationArtificial intelligenceInstructional designVirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
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.