Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements

The Accuracy of Digital Impressions versus Conventional Impressions in Neonates with Cleft Lip and/or Palate: A Laboratory-Based Study

Cleft lip and palate (CL/P) are a common congenital craniofacial anomaly requiring precise impressions for effective treatment. Conventional impressions (CIs) pose challenges in neonates with CL/P due to their delicate oral anatomy. While digital impressions (DIs) are increasingly recognised for their potential benefits over conventional methods in dentistry, their accuracy and application in neonates with cleft lip and palate (CL/P) remain underexplored. This study aimed to assess the accuracy of DIs compared to CIs in neonates with CL/P, using alginate and putty materials as references. A laboratory-based case-control study was conducted, utilising soft acrylic models resembling neonatal mouths with CL/P. Alginate and putty impressions were obtained conventionally, while digital impressions were captured using an intraoral scanner (IOS). A total of 42 models were analysed, divided evenly into three groups, with each group comprising 14 models. Superimposition and surface discrepancy analyses were performed to evaluate impression accuracy. The results revealed no statistically significant differences between the digital and conventional impressions in their intra-arch measurements and surface discrepancies. The mean measurement values did not significantly differ among groups, with p values indicating no significant variations (p > 0.05), confirmed by an analysis of variance. High intra-examiner reliability with Intra Class Coefficient (ICC) values close to 1 indicated consistent measurements over time. The current study demonstrates that DIs are equally accurate as conventional alginate and putty impressions in neonates with cleft lip and palate, offering a viable and less invasive alternative for clinical practise. This advancement holds promise for improving the treatment planning process and enhancing patient comfort, particularly in vulnerable neonatal populations. Further research is warranted to explore the clinical implications and factors affecting DI accuracy in this population.

Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives

In recent years, there has been the notable emergency of artificial intelligence (AI) as a transformative force in multiple domains, including orthodontics. This review aims to provide a comprehensive overview of the present state of AI applications in orthodontics, which can be categorized into the following domains: (1) diagnosis, including cephalometric analysis, dental analysis, facial analysis, skeletal-maturation-stage determination and upper-airway obstruction assessment; (2) treatment planning, including decision making for extractions and orthognathic surgery, and treatment outcome prediction; and (3) clinical practice, including practice guidance, remote care, and clinical documentation. We have witnessed a broadening of the application of AI in orthodontics, accompanied by advancements in its performance. Additionally, this review outlines the existing limitations within the field and offers future perspectives.

Global perspectives in orofacial cleft management and research

Orofacial clefts (OFCs) refer to clefts of the lip and palate, a heterogeneous group of relatively common congenital conditions that can cause mortality and significant disability if untreated, and residual morbidity even when treated with multidisciplinary care. Contemporary challenges in the field include: lack of awareness of OFCs in remote, rural and impoverished populations; uncertainties due to lack of surveillance and data gathering infrastructure; inequitable access to care in some parts of the world; and lack of political will combined with lack of capacity to prioritise research.OFCs present clinically as either syndromic or non-syndromic, with the latter either being isolated or in conjunction with other malformations; however, many registries still do not differentiate between these fundamentally different entities and lump a spectrum of cleft types and sub-phenotypes together. This has implications for treatment, research and ultimately, quality improvement.This paper deals with the challenges in contemporary management in terms of care and the prospects and possibilities for primary prevention of non-syndromic clefts. In terms of management and optimal care, there are also challenges in the provision of multi-disciplinary treatment and management of the consequences of being born with OFCs, such as dental caries, malocclusion and psychosocial adjustment.

Construction of a novel digital method for quantitative analysis of occlusal contact and force

BACKGROUND

Occlusal analysis is essential in the dental clinical practice. However, the traditional occlusal analysis performed on the two-dimensional level can not directly correspond to the tooth surface with three-dimensional profile, therefore the clinical guidance value is limited.

METHODS

By combining the 3D digital dental models and quantitative data from 2D occlusal contact analysis, this study constructed a novel digital occlusal analysis method. The validity and reliability of DP and SA were verified by comparing the results of occlusal analysis of 22 participants. ICC values for occlusal contact area (OCA) and occlusal contact number (OCN) were tested.

RESULTS

Results confirmed the reliability of the two occlusal analysis methods with ICC values of 0.909 for SA_OCA, 0.906 for DP_OCA, 0.929 for SA_OCN and 0.904 for DP_OCN. The Bland-Altman plot, paired t-test (t_OCN = 0.691, P > 0.05) and Pearson correlation analysis results (R = 0.68, p < 0.001) verified the validity between SA and DP. Then a novel digital occlusal analysis method was constructed, which not only can locate the occlusion contact and provide the quantitative analysis, but also provide a comprehensive description of the resultant force of each tooth and the component forces on the x-, y- and z-axis.

CONCLUSIONS

This new occlusal analysis method can obtain quantitative analysis of occlusal contact including contact area and force information simultaneously, which will provide new impetus and greater help for clinical dental treatment and scientific research.

Trends in Scope of Practice for Oral Health Care: Future Transformative Effects

KNOWLEDGE TRANSFER STATEMENT

The results of this study can help key stakeholders, such as health care facilities, educational and research institutions, insurance companies, and governmental bodies, plan future activities and policies on dental practice and education.