Evidence map›Paper›PMID 38404561›Full record

ArticleDental research and oral health2024

ChatGPT to Enhance Learning in Dental Education at a Historically Black Medical College.

Khandoker Rahad, Kianna Martin, Ihunna Amugo, Shania Ferguson, Angela Curtis, Anniya Davis, Pandu Gangula, Qingguo Wang

Abstract read
In one paragraph

Article in Dental research and oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  3. Observational
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  5. Article
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  8. Review
  9. Review
  10. Article
  11. Article
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  13. Application of large language models in oral health education: a review of the literature.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2025
    Review
  14. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Khandoker RahadDepartment of Computer Science & Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, USA.
Kianna MartinDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Ihunna AmugoDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Shania FergusonDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Angela CurtisDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Anniya DavisDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Pandu GangulaDepartment of ODS & Research, School of Dentistry, Meharry Medical College, Nashville, TN, USA.
Qingguo WangDepartment of Computer Science & Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, USA.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
The RCMI Program in Health Disparities Research at Meharry Medical College - SupplementU54MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Samuel Evans Adunyah, JAMES E HILDRETH · 2017 to 2026
$48.2M
Multidisciplinary Practice-Based Research Training in Meharry Medical College, School of DentistryU01DE033241 · NIDCR · MEHARRY MEDICAL COLLEGE · PI PANDU R GANGULA · 2023 to 2026
$2.3M
NIDCR NIH HHS U01 DE033241NIH HHS OT2 OD032581NIMHD NIH HHS U54 MD007586
6 · The paper itself

Abstract

The recent rise of powerful large language model (LLM)-based AI tools, exemplified by ChatGPT and Bard, poses a great challenge to contemporary dental education. It simultaneously offers a unique resource that potentially complements today's teaching and learning, where existing widely available learning resources have often fallen short. Although the LLM tools will shape both the clinical and educational aspects of dentistry profoundly, the didactic curricula, which primarily rely on lecture-based courses where instructors impart knowledge through presentations and discussions, need to be upgraded urgently. In this paper, we used dental course materials, syllabi, and textbooks adopted currently in the School of Dentistry (SOD) at Meharry Medical College to assess the potential utility and effectiveness of ChatGPT in dental education. We collected the responses of the chatbot to questions as well as students' interactions with it for assessment. Our results showed that ChatGPT can assist in dental essay writing and generate relevant content for dental students, in addition to other benefits. The limitations of ChatGPT were also discussed in the paper.

Indexed as

ChatGPTDental EducationDentistryLarge language modelStudent Learning

Identifiers

PMID38404561
PMCPMC10887427

What OpenQuestion holds

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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.