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  Published Paper Details:

  Paper Title

ARTIFICIAL INTELLIGENCE IN DIAGNOSIS OF ORAL MUCOSAL LESIONS" -PERCEPTIONS, AWARENESS, AMONG DENTAL PROFESSIONALS-A CROSS SECTIONAL QUESTIONARRE BASED STUDY

  Authors

  Dr.Manju.J MDS Ph.D,  Dr.Priya Ramani,  Dr.A.Angelin Beulah,  Dr.Ajantha,  Dr.N.k.P.Angathan , Dr.P.A Ayesha

  Keywords

Keywords: Artificial intelligence, Oral mucosal lesions, Deep learning, Early diagnosis, Digital pathology

  Abstract


Abstract Background: Artificial intelligence (AI) is increasingly used in dentistry, particularly for diagnosing oral mucosal lesions, yet awareness among dental professionals remains variable. Objective: To assess awareness and perceptions of AI in the diagnosis of oral mucosal lesions among dental practitioners. Methods: A descriptive, questionnaire-based cross-sectional survey was conducted among dental professionals using a pre-validated Google Forms questionnaire. Demographic details and awareness-related responses were collected. Ethical approval was obtained, and participation was voluntary. Data were compiled in Microsoft Excel and analyzed using descriptive statistics (frequencies and percentages). Results: Most participants demonstrated moderate awareness of AI applications in oral diagnosis, with notable variability in understanding specific functions, benefits, and limitations. While the majority recognized AI's potential to enhance diagnostic accuracy, concerns regarding reliability and dependence persisted. Conclusion: Dental professionals display positive yet cautious attitudes toward AI. Targetededucational interventions are needed to improve knowledge, confidence, and integration of AI-based diagnostic tools into clinical practice.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512372

  Paper ID - 298273

  Page Number(s) - d177-d186

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Manju.J MDS Ph.D,  Dr.Priya Ramani,  Dr.A.Angelin Beulah,  Dr.Ajantha,  Dr.N.k.P.Angathan , Dr.P.A Ayesha,   "ARTIFICIAL INTELLIGENCE IN DIAGNOSIS OF ORAL MUCOSAL LESIONS" -PERCEPTIONS, AWARENESS, AMONG DENTAL PROFESSIONALS-A CROSS SECTIONAL QUESTIONARRE BASED STUDY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.d177-d186, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512372.pdf

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Call For Paper December 2025
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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