What is the current state of artificial intelligence applications in dentistry and orthodontics?

Fawaz, Paul; Sayegh, Patrick El; Vannet, Bart Vande

doi:10.1016/j.jormas.2023.101524

Cited by 7 publications

(3 citation statements)

References 68 publications

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“…The clinician can create a three-dimensional image of the dental arches from plaster models or impressions or by directly scanning the oral cavity. The digital model that is produced may be preferred when compared to a conventional setup due to higher tolerance, increased comfort, a lesser risk of allergic reactions, and ease of data storage, recovery, and transfer [14,17,18]. However, the prediction of dental arch widths in cases of crowded or spaced dentition and class II or class III malocclusions is an area that requires further research [19].…”

Section: Diagnosismentioning

confidence: 99%

“…It has been found that, after six months, there were no clinically meaningful differences in Little's irregularity index, arch breadth, or length between CAD/CAM and traditional retainers. Additionally, there was no distinction between the two types of fixed retainers in terms of failures or patient satisfaction [18].…”

Section: Retainer Fabrication Using Digital Technologymentioning

confidence: 99%

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Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

Pouliezou,

Gravia,

Vasoglou

2024

Oral

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Digital models and three-dimensional technology in orthodontics have become an integral part of everyday clinical practice. Nevertheless, there is currently no consensus regarding in which cases a digital model is really necessary. Therefore, this scoping review aims to identify and assess which orthodontic procedures require a digital model. This review’s reporting was based on PRISMA guidelines. A literature search was undertaken using five electronic databases on 17 February 2024. A total of 87 studies met the inclusion criteria and were qualitatively analyzed by three reviewers. The following aspects of orthodontic treatment were identified and discussed with regard to digital model application: diagnosis, treatment procedures, retention, and outcome evaluation in orthodontics. Based on the studies assessed, despite some limitations regarding radiation exposure justification and the accuracy of the integration methods of 3D data, there is evidence that digital models lead to more accurate orthodontic diagnosis and treatment planning. In cases of impacted canines, aligner treatment, mini-implants insertion (when angle definition and orientation are essential), and primary care for cleft lip and palate, a partial digital model produced by an integration of some of the 3D data (face scan, intraoral scan, CBCT) that we can acquire is beneficial. A full digital model that combines all the 3D information should be used in orthognathic surgery cases, in which prediction and accurate performance are highly advocated.

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Section: Diagnosismentioning

confidence: 99%

Section: Retainer Fabrication Using Digital Technologymentioning

confidence: 99%

Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

Pouliezou,

Gravia,

Vasoglou

2024

Oral

View full text Add to dashboard Cite

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“…Regarding AI-assisted decision making, it is necessary to emphasise that, whereas evidence-based dentistry drives dental professionals' daily decisions, machine-learning models learn from human expertise, and thus AI can serve as a good advisor that absorbs all relevant information available [30]. This might be of added value for less-experienced clinicians; however, some authors stress the need for an individualised approach granted by the human factor [31,32].…”

Section: Introductionmentioning

confidence: 99%

AI and Face-Driven Orthodontics: A Scoping Review of Digital Advances in Diagnosis and Treatment Planning

Tomášik,

Zsoldos,

Oravcová

et al. 2024

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In the age of artificial intelligence (AI), technological progress is changing established workflows and enabling some basic routines to be updated. In dentistry, the patient’s face is a crucial part of treatment planning, although it has always been difficult to grasp in an analytical way. This review highlights the current digital advances that, thanks to AI tools, allow us to implement facial features beyond symmetry and proportionality and incorporate facial analysis into diagnosis and treatment planning in orthodontics. A Scopus literature search was conducted to identify the topics with the greatest research potential within digital orthodontics over the last five years. The most researched and cited topic was artificial intelligence and its applications in orthodontics. Apart from automated 2D or 3D cephalometric analysis, AI finds its application in facial analysis, decision-making algorithms as well as in the evaluation of treatment progress and retention. Together with AI, other digital advances are shaping the face of today’s orthodontics. Without any doubts, the era of “old” orthodontics is at its end, and modern, face-driven orthodontics is on the way to becoming a reality in modern orthodontic practices.

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Enhancing systematic reviews in orthodontics: a comparative examination of GPT-3.5 and GPT-4 for generating PICO-based queries with tailored prompts and configurations

Demir,

Süküt,

Duran

et al. 2024

European Journal of Orthodontics

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Summary Objectives The rapid advancement of Large Language Models (LLMs) has prompted an exploration of their efficacy in generating PICO-based (Patient, Intervention, Comparison, Outcome) queries, especially in the field of orthodontics. This study aimed to assess the usability of Large Language Models (LLMs), in aiding systematic review processes, with a specific focus on comparing the performance of ChatGPT 3.5 and ChatGPT 4 using a specialized prompt tailored for orthodontics. Materials/Methods Five databases were perused to curate a sample of 77 systematic reviews and meta-analyses published between 2016 and 2021. Utilizing prompt engineering techniques, the LLMs were directed to formulate PICO questions, Boolean queries, and relevant keywords. The outputs were subsequently evaluated for accuracy and consistency by independent researchers using three-point and six-point Likert scales. Furthermore, the PICO records of 41 studies, which were compatible with the PROSPERO records, were compared with the responses provided by the models. Results ChatGPT 3.5 and 4 showcased a consistent ability to craft PICO-based queries. Statistically significant differences in accuracy were observed in specific categories, with GPT-4 often outperforming GPT-3.5. Limitations The study’s test set might not encapsulate the full range of LLM application scenarios. Emphasis on specific question types may also not reflect the complete capabilities of the models. Conclusions/Implications Both ChatGPT 3.5 and 4 can be pivotal tools for generating PICO-driven queries in orthodontics when optimally configured. However, the precision required in medical research necessitates a judicious and critical evaluation of LLM-generated outputs, advocating for a circumspect integration into scientific investigations.

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What is the current state of artificial intelligence applications in dentistry and orthodontics?

Cited by 7 publications

References 68 publications

Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

AI and Face-Driven Orthodontics: A Scoping Review of Digital Advances in Diagnosis and Treatment Planning

Enhancing systematic reviews in orthodontics: a comparative examination of GPT-3.5 and GPT-4 for generating PICO-based queries with tailored prompts and configurations

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