Publication: Open access databases of craniofacial cone beam computed tomography scans are vital for advancements in artificial intelligence
dc.contributor.author | Sabarinath, Prasad | |
dc.contributor.author | Jahanzeb, Chaudhry | |
dc.date.accessioned | 2024-10-02T05:39:34Z | |
dc.date.available | 2024-10-02T05:39:34Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Letter to the Editor Dear Editor-in-Chief, Dear Professor Lakshman P. Samaranayake, We recently read your editorial in the International Dental Journal, and concur with the views expressed. The call for action to wholeheartedly embrace artificial intelligence (AI) has been particularly loud in the speciality of dentomaxillofacial radiology. Residents at MBRU have ongoing research projects using AI and machine learning (ML) for understanding impacted maxillary canines in cone beam computed tomography (CBCT) images and panoramic radiographs. Although the university is relatively young, a large database of panoramic radiographs is available. Additionally, public databases of panoramic radiographs are also accessible. However, similar open-access CBCT databases are currently unavailable. The purpose of our correspondence is to emphasize the critical need to establish open-access repositories for CBCT scans. In the context of the growing importance of AI and ML, the creation of such databases will be instrumental in developing AI and ML methodologies that require large-scale datasets for optimal functionality. The robustness and generalizability of AI and ML algorithms are directly proportional to the size and diversity of the training datasets. Large datasets are indispensable for training models to recognize patterns, anomalies, and variations, ultimately leading to improved clinical decision-making. Open-access CBCT databases will provide the necessary breadth of diagnostic images to enhance the development and performance of these cutting-edge technologies. Since the lack of such a repository hinders the development and advancement of AI and ML in dentistry, we urge all stakeholders to work towards the creation of such databases. Establishing open-access, cloud-based CBCT databases can facilitate collaboration and innovation within the dental research community. The databases will permit large-scale, multicentre studies and also expedite research initiatives. In anticipation of the positive impact that the International Dental Journal will have in shaping the future of dentistry, thank you for your thoughtful consideration. | en_US |
dc.identifier.other | 304-2024.14 | |
dc.identifier.uri | https://repository.mbru.ac.ae/handle/1/1525 | |
dc.subject | Open access databases | en_US |
dc.subject | Craniofacial cone beam computed tomography scans | en_US |
dc.subject | Artificial intelligence | en_US |
dc.title | Open access databases of craniofacial cone beam computed tomography scans are vital for advancements in artificial intelligence | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | en_US |