Determinants of Clinical Decision Making under Uncertainty in Dentistry: A Scoping Review

Designing a Smartphone Application for Detection of Oral Bite Force Using Artificial Intelligence

INTRODUCTION AND AIMS

The abnormal bite force plays a crucial role in triggering oral diseases. Currently, the field of bite force remains largely unexplored despite its immense potential. Previous studies have documented various devices for detecting bite force; however, there is a scarcity of corresponding visual applications to facilitate accurate diagnosis and treatment. Therefore, the purpose of this study is to design a smartphone application for intelligent detection of oral bite force.

METHODS

This study has developed an intelligent program software for analyzing bite force detection, which encompassing modules such as introduction, environment setup, data reception and transmission, analysis processing, installation and uninstallation, as well as user instructions. Bluetooth wireless transmission has been utilized to transmit, store, and analyze bite simulation data.

RESULTS

The developed application has presented sensor data in the form of single or multiple line graphs, assisting dentists in the diagnosis and treatment of oral diseases. Additionally, this program application provided feedback by detecting collected data and utilizing various output modes based on pre-set threshold values to prompt patients for self-correction, thereby achieving biofeedback regulation.

CONCLUSION

This intelligent application was designed to provide dentists with real-time monitoring, intelligent feedback, and effective intervention of bite force in their clinical practice.

CLINICAL RELEVANCE

By achieving a dynamic equilibrium between bite force and the oral maxillofacial system, it aims to enhance disease diagnosis and treatment to a quantitative, controllable, and predictable level.

Implementation of Chief Complaint-Based Clinical Reasoning Training in Periodontal Internships

BACKGROUND

The gap between theoretical knowledge and clinical skills highlights the need for clinical reasoning training curriculum in periodontal education, especially in periodontal internships. This study aims to develop a Chief Complaint-Based Clinical Reasoning Training (CCB-CRT) program and evaluate its impact on periodontal interns' clinical reasoning abilities and overall performance.

METHODS

The CCB-CRT program was developed based on eight common chief complaints (CCs) identified through surveys of periodontal specialists and an analysis of patient visit data from a university-affiliated hospital's periodontal clinic. The study involved a comparison between a control group of fifth-year dental students (2021) and a CCB-CRT group (2022). Both groups completed an 8-week training course. The CCB-CRT group received additional training focused on the 8 common CCs, using student-led discussions, flipped classroom, mind mapping, and presentations. Evaluation criteria included overall performance, disease diagnosis and treatment plan, misdiagnosis rates, and students' satisfaction.

RESULTS

After 1 year of CCB-CRT implementation, participants in the CCB-CRT group showed substantial improvements in overall performance, diagnostic accuracy, and satisfaction compared to traditional teaching methods. The program enhanced students' understanding of theoretical knowledge, improved their interpretation of clinical manifestations and examination results, and enhanced their clinical reasoning skills and diagnostic accuracy.

CONCLUSIONS

The successful application of the CCB-CRT program in periodontology education demonstrates its efficacy in improving clinical reasoning skills and diagnostic efficiency among students. The structured approach facilitates the transition from theoretical knowledge to practical application, contributing to better patient care in periodontal practice.

Knowledge, attitudes and preferences of parents/guardians regarding dental treatment of their children's primary teeth: a questionnaire cross-sectional study

PURPOSE

Assess the knowledge and attitudes of parents/guardians regarding their children's oral health and their preferences regarding the treatment of carious primary teeth.

METHODS

A cross-sectional study including the completion of a questionnaire by parents/guardians of healthy children aged 2-12 years attending the Department of Pediatric Dentistry (NKUA). Data were collected through 35 questions regarding demographic characteristics of the participants, oral hygiene and dietary habits, and parents' knowledge of the importance of oral health and primary teeth. Treatment preferences were assessed through clinical scenarios accompanied by colored clinical photographs. Results were presented in frequency tables and comparisons with specific child and parent-characteristics were evaluated using chi-squared and Fisher's exact test.

RESULTS

Parents were mainly females (73%), married (81%), aged > 40 years (56%), and high school graduates (57%). Most children brushed alone (56%), twice (48%) daily, with a manual toothbrush (65%) and consumed sugary snacks daily (38%). More than two-thirds of parents recognized the relationship between oral hygiene and general health (82%) and the importance of primary teeth (72%). Almost all parents would like to restore their children's asymptomatic (94%) and symptomatic (98%) primary teeth, with pulp therapy and stainless-steel crowns being the treatment of choice (58%). The decision on treatment about cavitated/non-cavitated primary teeth was not correlated with any of the parental or child-related factors. Acceptance of minimally invasive treatments was higher among highly educated parents and parents of boys.

CONCLUSION

Insight into parents' perceptions and preferences regarding the treatment of primary teeth is necessary and should be considered during treatment planning.

Observational Diagnostics: The Building Block of AI-Powered Visual Aid for Dental Practitioners

Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses. Radiographs, such as orthopantomograms (OPGs) and intraoral radiographs, along with clinical photographs, are the primary imaging modalities employed for AI-powered analysis in the dental field. In this review, we discuss the most recent research and product developments concerning the clinical application of AI as a visual aid in dentistry and introduce the concept of Observational Diagnostics (ODs) as a structured method to standardise image analysis. ODs serve as foundational elements for AI-driven diagnostic aids and have the potential to improve the consistency and reliability of diagnostic data used in treatment planning. We provide illustrative examples to demonstrate how ODs not only represent a significant advancement towards more precise diagnostic aids but also provide the basis for the generation of evidence-based treatment recommendations. These OD-based algorithms have been integrated into chairside AI applications to streamline clinical workflows to improve consistency, accuracy, and efficiency.

Accuracy of Treatment Recommendations by Pragmatic Evidence Search and Artificial Intelligence: An Exploratory Study

There is extensive literature emerging in the field of dentistry with the aim to optimize clinical practice. Evidence-based guidelines (EBGs) are designed to collate diagnostic criteria and clinical treatment for a range of conditions based on high-quality evidence. Recently, advancements in Artificial Intelligence (AI) have instigated further queries into its applicability and integration into dentistry. Hence, the aim of this study was to develop a model that can be used to assess the accuracy of treatment recommendations for dental conditions generated by individual clinicians and the outcomes of AI outputs. For this pilot study, a Delphi panel of six experts led by CoTreat AI provided the definition and developed evidence-based recommendations for subgingival and supragingival calculus. For the rapid review-a pragmatic approach that aims to rapidly assess the evidence base using a systematic methodology-the Ovid Medline database was searched for subgingival and supragingival calculus. Studies were selected and reported based on the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), and this study complied with the minimum requirements for completing a restricted systematic review. Treatment recommendations were also searched for these same conditions in ChatGPT (version 3.5 and 4) and Bard (now Gemini). Adherence to the recommendations of the standard was assessed using qualitative content analysis and agreement scores for interrater reliability. Treatment recommendations by AI programs generally aligned with the current literature, with an agreement of up to 75%, although data sources were not provided by these tools, except for Bard. The clinician's rapid review results suggested several procedures that may increase the likelihood of overtreatment, as did GPT4. In terms of overall accuracy, GPT4 outperformed all other tools, including rapid review (Cohen's kappa 0.42 vs. 0.28). In summary, this study provides preliminary observations for the suitability of different evidence-generating methods to inform clinical dental practice.

Patients' experiences of temporomandibular disorders and related treatment

BACKGROUND

Temporomandibular disorders (TMD) are common and therefore managed by dentists on a daily basis. However, patients with TMD consistently go undetected and therefore untreated in dentistry. The reasons for these shortcomings have not been fully explored, specifically with regard to patients' perspectives. Therefore, this study aimed to explore patients' experiences of TMD and related treatment, with special focus on the experiences of having TMD, factors related to seeking care, and perspectives on received treatment.

METHODS

Purposive sampling was used to recruit adult patients at the Public Dental Health services (PDHS) in the Region of Västerbotten, Sweden, during 2019. Individual semi-structured interviews were conducted and analysed using Qualitative Content Analysis. Sixteen patients were interviewed (ten women and six men, 20-65 years). The interviews probed the patients' perspectives of having TMD, seeking care, and receiving treatment. All participants were also examined according to the Diagnostic Criteria for TMD (DC/TMD) and qualified for at least one DC/TMD diagnosis.

RESULTS

The data analysis led to the main theme Seeking care when the situation becomes untenable, but dental care fails to meet all needs. The patients expressed worry and social discomfort because of the symptoms but still strived to have an as normal daily life as possible. However, severe symptoms and associated consequences compelled them to seek professional help. Experiences of distrust together with challenges to access the PDHS were identified and related to the patients' unfulfilled expectations.

CONCLUSIONS

Patients' reported experiences indicate that receiving timely and appropriate care is more of an unfulfilled expectation than the current state of management of patients with TMD in dentistry.

Proposal of a Decision-Making Model for the Provisional Restoration Alternatives in Single-Tooth Implant Treatment

Background The decision-making of the most appropriate provisional restoration option in single-tooth implant practice is complex under multi-criteria conditions. The aim of our study is to conduct a case study on the determination of the appropriate provisional treatment option to be used in a single-tooth dental implant interim period after placement with the help of an entropy-based additive ratio assessment. Methodology Eight important criteria for fulfilling this purpose have been extracted from the literature search: "esthetic potential," "patient comfort," "treatment time," "laboratory cost," "occlusal clearance," "ease of removal," "durability," and "ease of modification." Provisional treatment alternatives are "removable partial denture," "vacuum-formed appliances," "bonded extracted tooth or denture," "metal or fiber-reinforced resin-bonded fixed partial denture," "wire-retained resin-bonded fixed partial denture," "acrylic resin provisional fixed partial denture," and "implant-supported fixed provisional restoration." It has been examined which of these alternatives is most appropriate in terms of both reported specifications and artificially generated dominance scenarios. The scenarios employed are S0 (criteria are equal-weighted), S1 (the criterion is tri-fold dominant), and S2 (the criterion is two-fold dominant). Results "Patient comfort" was the most important criterion (wj = 0.19). The remaining criteria were ranked as "modifications," "treatment time," "durability," "esthetic potential," "laboratory cost," "occlusal clearance," and "ease of removal." The "implant-supported fixed provisional restoration" treatment option had the maximum degree of utility in the S0 (Ki = 0.782) and S2 (Ki = 0.80) categories. If "treatment time" or "occlusal clearance" is the dominant variable, "vacuum-formed appliances" had the highest degree of utility (Ki = 0.69) in S1. Conclusions According to the rankings and scenarios created utilizing entropy-based additive ratio assessment methods, the "implant-supported fixed provisional restoration" is the appropriate provisional option for a single-tooth implant treatment. If "treatment time" or "occlusal clearance" is an absolute criterion, the "vacuum-formed provisional appliance" will replace the appropriate option.

Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia

BACKGROUND

In many dental settings, diagnosis and treatment planning is the responsibility of a single clinician, and this process is inevitably influenced by the clinician's own heuristics and biases. Our aim was to test whether collective intelligence increases the accuracy of individual diagnoses and treatment plans, and whether such systems have potential to improve patient outcomes in a dental setting.

METHODS

This pilot project was carried out to assess the feasibility of the protocol and appropriateness of the study design. We used a questionnaire survey and pre-post study design in which dental practitioners were involved in the diagnosis and treatment planning of two simulated cases. Participants were provided the opportunity to amend their original diagnosis/treatment decisions after viewing a consensus report made to simulate a collaborative setting.

RESULTS

Around half (55%, n = 17) of the respondents worked in group private practices, however most practitioners (74%, n = 23) did not collaborate when planning treatment. Overall, the average practitioners' self-confidence score in managing different dental disciplines was 7.22 (s.d. 2.20) on a 1-10 scale. Practitioners tended to change their mind after viewing the consensus response, particularly for the complex case compared to the simple case (61.5% vs 38.5%, respectively). Practitioners' confidence ratings were also significantly higher (p < 0.05) after viewing the consensus for complex case.

CONCLUSION

Our pilot study shows that collective intelligence in the form of peers' opinion can lead to modifications in diagnosis and treatment planning by dentists. Our results lay the foundations for larger scale investigations on whether peer collaboration can improve diagnostic accuracy, treatment planning and, ultimately, oral health outcomes.