Artificial intelligence in Oral Medicine and Radiology: It’s Knowledge, Attitude and Perception among Dental Students

Authors

  • Maryam Qanita KMU Institute of Dental Sciences, Kohat
  • Sanna Safi KMU Institute of Dental Sciences, Kohat
  • Fatima Arif KMU Institute of Dental Sciences, Kohat

DOI:

https://doi.org/10.35845/abms.2025.2.496

Keywords:

Knowledge, Attitude, Perception, Artificial intelligence, Oral medicine, Radiology

Abstract

OBJECTIVES: To determine the knowledge, attitude, and perception of dental students towards use of AI in oral medicine and radiology.

METHODOLOGY: This cross-sectional study, conducted at KMU-IDS, Kohat, included 125 dental students, using a convenience sampling technique. Data was collected using a pre-validated questionnaire. The questionnaire consisted of a series of closed-ended questions to assess KAP. About 7 questions were knowledge-related, 4 questions each, regarding attitude and perception.

Categorical variables were analyzed using frequencies. Modified Likert scale was used. Mean ± SD of scores of knowledge, attitude, and perception for each qualification was calculated. Comparison of the Mean ± SD of KAP domains among qualification groups was done using the Kruskal-Wallis test. Percentile scores were checked, and categorization was done for each individual. The relationship between KAP domains was checked using Spearman's Rank Correlation Coefficient.

RESULTS: Around 66.4% (n=83) of participants agreed that for the detection of oral cancer and the diagnosis of mucosal lesions, AI can be employed (p =0.005). Around 72.8% (n=91) suggested that dental practitioners must use AI in their clinical practices (p value= 0.035).

About 51.2% demonstrated excellent knowledge with a percentage score exceeding 75%. All 125 participants (100%) reflected a positive attitude. About 120 participants (96%) indicated a positive perception. A weak positive correlation between attitude and perception of participants was found statistically significant (p value < 0.001).

CONCLUSION: This was the first-ever study in Pakistan focusing on artificial intelligence in relation to Oral Medicine and Radiology. Most of the participants had good knowledge, attitude, and perception.

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Published

2026-01-01

How to Cite

1.
Qanita M, Safi S, Arif F. Artificial intelligence in Oral Medicine and Radiology: It’s Knowledge, Attitude and Perception among Dental Students . Adv Basic Med Sci [Internet]. 2026Jan.1 [cited 2026Jan.5];9(2):120-5. Available from: https://abms.kmu.edu.pk/index.php/abms/article/view/496

Issue

Vol. 9 No. 2 (2025): (July-Dec) Advances in Basic Medical Sciences

Section

Original Articles

License

Copyright (c) 2026 Maryam Qanita, Sanna Safi, Fatima Arif

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