## 5 Conclusions and Future Work  
In this paper, we present PDApp, a new reliable and easy-to-use software tool that we developed for estimating third molar eruption potential based on panoramic radiological images of adolescent/teenage patients. This software provides a friendly GUI to manually draw the retromolar space, third molar diameter, and angle on the image. The probability of positive (eruption) and negative (non-eruption) potential is then automatically predicted. PDApp allows clinicians to review, share, and save the analysis at any time. The software was tested during daily practice at the odontology faculty at the University of Santiago de Compostela in 2021 and achieved an accuracy of 97.96% in predicting third molars as erupted or retained.  
The PDApp software is simple to use and install and has the following advantages:  
1. It works with digital radiological images.
2. It allows automatic monitoring, i.e., measuring distances and angles.
3. It allows prediction of eruption potential.  
For these reasons, it could be easily implemented in the daily practice of dental clinics. PDApp could facilitate and optimize routine oral radiological examinations and lead to ever-increasing diagnostic accuracy and optimization of treatment planning. PDApp represents a major advance beyond what is currently available for daily clinical practice. In fact, the mean score for experts' perception of PDApp on the SUS questionnaire was 100, which means that they consider the software to be the best imaginable system. This tool allows prompt clinical decision-making on whether or not to extract an unerupted third molar and can help in minimizing the postoperative complications of surgery and the sequelae of follow-up over time. Hence, PDApp facilitates optimization of personalized oral health care.  
In future work, the objective will be to provide automatic analysis of panoramic radiographs to recognize the retromolar space and third molar distance and angle (or other non-interpretable measures) in order to build a fully automated system for predicting third molar eruption potential.  
All the authors contributed to the study conception and design. S.S.-H. and M.G.-T.: direction and supervision of software design, trial and error in clinical setting, utility analysis and improvements, writing clinical parts, and final supervision of the manuscript. E.C. and M.F.-D.: software design and subsequent implementation, writing the mathematical part, and final supervision of the manuscript. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This work received financial support from the Xunta de Galicia (Centro Singular de Investigacion de Galicia, accreditation 2020-2023) and the European Union (European Regional Development Fund, ERDF) Project ED431G-2019/04.  
**Institutional Review Board Statement:** Approval was granted by the Territorial Research Ethics Committee of Pontevedra-Vigo-Ourense, and the study complies with the current legal requirements (Law 14/2007 on Biomedical Research and Decree 63/2013, which regulates research ethics committees in Galicia). Promoter code: Rx2017V1. Registration code: 2017/121.  
**Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study.  
**Data Availability Statement:** The software, for Windows and Linux, can be downloaded from [[https://citis.usc.es/transferencia/software/pdapp](https://citis.usc.es/transferencia/software/pdapp)]([https://citis.usc.es/transferencia/software/pdapp](https://citis.usc.es/transferencia/software/pdapp)) (accessed on 16 February 2023) for research purposes prior authorisation and registration.  
**Conflicts of Interest:** The authors have no relevant financial or non-financial interests to disclose.