Diagnostic skills in radiographic interpretation among dental students

Authors

Keywords:

diagnostic imaging, radiography, dental, students, dental

Abstract

strengthen more applied learning oriented toward skills development.

Conclusions: Radiographic skills for diagnostic interpretation in dental students are in the process of development. Active and technological strategies, together with immediate feedback and guided practice, progressively strengthen diagnostic accuracy.

Downloads

Download data is not yet available.

Author Biographies

Eric Giancarlo Becerra-Atoche, Universidad César Vallejo Piura. Escuela Profesional de Estomatología. Piura, Perú.

Cirujano dentista. Docente universitario.

Paul Martín Herrera-Plasencia, Universidad César Vallejo Piura. Escuela Profesional de Estomatología. Piura, Perú.

Cirujano dentista. Docente universitario.

References

1. Rampf S, Gehrig H, Möltner A, Fischer MR, Schwendicke F, Huth KC. Radiographical diagnostic competences of dental students using various feedback methods and integrating an AI application: A randomized clinical trial [Internet]. Eur J Dent Educ. 2024;28:925–937. DOI:10.1111/eje.13028

2. Xu H, Ang B, Soh, J, Ponnamperuma G. Methods to Improve Diagnostic Reasoning in Undergraduate Medical Education in the Clinical Setting: a Systematic Review [Internet]. J Gen Intern Med. 2021; 36: 2745–54. DOI: https://doi.org/10.1007/s11606-021-06916-0

3. Mutlak Z, Saqer N, Chan SCC, Majeed A, Jerjes W. The misdiagnosis tracker: enhancing diagnostic reasoning through cognitive bias awareness and error analysis [Internet]. J Clin Med. 2025;14(12):4139. DOI: 10.3390/jcm14124139

4. Gnanasekaran F, Nirmal L, Sujitha P, Bhavyaa R, Muthu M, Cho VY, et al. Visual interpretation of panoramic radiographs in dental students using eye-tracking technology [Internet]. J Dent Educ. 2022;86(7):887–92. DOI: 10.1002/jdd.12899

5. Altun I, Turan O, Awan O. Revolutionizing radiology education: exploring innovative teaching methods [Internet]. Abdom Radiol (NY). 2025; 50(12):6225-34. DOI: 10.1007/s00261-025-05010-x

6. Alsufyani N, Alnamlah S, Mutaieb S, Alageel R, AlQarni M, Bukhari A, et al. Virtual reality simulation of panoramic radiographic anatomy for dental students [Internet]. J Dent Educ. 2023; 87:1200–09. DOI: 10.1002/jdd.13240

7. Olegário I, Leith R, O’Connell AC. Quality of vertical bitewing radiographs and common errors of positioning in children: a study with undergraduate operators [Internet]. Int J Paediatr Dent. 2025; 35:869–875. DOI: 10.1111/ipd.13299

8. Mahmoud S, Alnuaimy A, Abbas FK, Alhamdani F. Assessing the satisfaction of third-year dental students with X-ray training across colleges of dentistry in Iraq: an evaluative study [Internet]. Indian J Dent Res. 2025; 36:122–9. DOI: 10.4103/ijdr.ijdr_1009_23

9. Schropp L, Sørensen APSS, Devlin H, Matzen LH. Use of artificial intelligence software in dental education: assisted proximal caries assessment in bitewing radiographs [Internet]. Eur J Dent Educ. 2024; 28:490–496. DOI: 10.1111/eje.12973

10. Durmazpinar P, Ekmekci E. Comparing diagnostic skills in endodontic cases: dental students versus ChatGPT-4º [Internet]. BMC Oral Health. 2025;25:457. DOI: 10.1186/s12903-025-05857-y

11. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews [Internet]. BMJ. 2021;372:71. DOI: https://doi.org/10.1136/bmj.n71

12. Rocha B, Porto-Alegre Rosa BS, Cerqueira TS, de-Azevedo-Vaz SL, Barbosa GLR, Ferreira LM, et al. Evaluation of different teaching methods in the radiographic diagnosis of proximal carious lesions [Internet]. Dentomaxillofac Radiol. 2020; 50:20200295. DOI: 10.1259/dmfr.20200295

13. Young A, Skudutyte-Rysstad R, Torgersen G, Giertsen E. Teaching Radiographic Caries Detection and Treatment Planning: A Seminar Using an Audience Response System [Internet]. Caries Res. 2022; 56(3):226–33. DOI: 10.1159/000526109

14. Zain-Alabdeen E. Evaluation and Perception of an Edpuzzle Class Compared with a Traditional Class among Oral Radiology Undergraduate Students [Internet]. Eur J Gen Dent. 2023; 12:115–20. DOI: 10.1055/s-0043-1770987

15. Math S, Sultan O, Bin Zainal Anuar M, Pacheco-Pereira C. Interactive E-Learning Module: Enhancing Panoramic Radiograph Interpretation Skills of Dental Students [Internet]. J Dent Educ. 2025;87:e13923. DOI: 10.1002/jdd.13923

16. Vogel D, Schulze R. Viewing patterns regarding panoramic radiographs with different pathological lesions: an eye-tracking study [Internet]. Dentomaxillofac Radiol. 2021; 50(8):20210019. DOI: 10.1259/dmfr.20210019

17. Ameen M, Saleh AR, Alhadi D, Almaslamani M. Assessment of radiographic errors and repetition rates in undergraduate endodontic education: a retrospective clinical study [Internet]. Saudi Dent J. 2025;37(4-6):26. DOI: 10.1007/s44445-025-00030-1

Downloads

Published

2026-01-30

How to Cite

1.
Becerra-Atoche EG, Herrera-Plasencia PM. Diagnostic skills in radiographic interpretation among dental students. Rev. cuba. med. mil [Internet]. 2026 Jan. 30 [cited 2026 Feb. 3];55(1):e026077055. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/77055

Issue

Vol. 55 No. 1 (2026): January - March (In progress)

Section

Systematic Review

License

Copyright (c) 2026 Eric Giancarlo Becerra-Atoche, Paul Martín Herrera-Plasencia

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors who have publications with this Journal accept the following terms:

  • The authors will retain their copyright and guarantee the Journal the right of first publication of their work, which will simultaneously be subject to the Creative Commons Attribution License. The content presented here can be shared, copied and redistributed in any medium or format; Can be adapted, remixed, transformed or created from the material, using the following terms: Attribution (giving appropriate credit to the work, providing a link to the license, and indicating if changes have been made); non-commercial (you cannot use the material for commercial purposes) and share-alike (if you remix, transform or create new material from this work, you can distribute your contribution as long as you use the same license as the original work).
  • The authors may adopt other non-exclusive license agreements for the distribution of the published version of the work (for example: depositing it in an institutional electronic archive or publishing it in a monographic volume) as long as the initial publication in this Journal is indicated.
  • Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional electronic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work.