Introduction

This study evaluated the knowledge, attitudes, and practices (KAP) of dental professionals in northern India regarding radiomics as an emerging component of digital dentistry. Radiomics, by extracting quantitative data from imaging, has the potential to elevate diagnostic accuracy, prognostic assessment, and personalized treatment planning in dentistry. As a pioneering investigation, this study positions radiomics within the framework of digital dentistry, highlighting both its transformative potential and the barriers limiting adoption.

Objectives

To assess and compare the knowledge, attitudes, and practices of oral radiology specialists, general dental practitioners, and dental students regarding radiomics in digital dentistry, and to evaluate their readiness for its clinical adoption.

Material and methods

A descriptive cross-sectional survey was conducted using a self-structured 23-item questionnaire distributed through Google Forms. A total of 300 participants, i.e., oral radiology specialists (n = 100), general dental practitioners (n = 100), and dental students (n = 100) were included. Data were analyzed using PASW Statistics for Windows, version 18.0. Descriptive statistic, c2 test, and binary logistic regression were applied to assess KAP regarding radiomics within digital dentistry.

Results

Overall, 65.7% of respondents reported unfamiliarity with radiomics, and 97.7% were unaware of its potential applications in predicting treatment response, prognosis, and complications. Oral radiology specialists demonstrated higher familiarity compared to other groups, yet practical application remained minimal across participants. Despite these gaps, attitudes were overwhelmingly positive, with strong willingness to adopt radiomics expressed if adequate training, supportive software, and clinical guidelines are provided.

Conclusions

This study highlights a substantial knowledge deficit but strong adoption readiness for radiomics in dentistry. Incorporating radiomics into the digital dentistry ecosystem through structured education, curricular integration, and practice guidelines, can accelerate translation into diagnostics, ultimately advancing precision, efficiency, and patient-centered care.