ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model

H Huang, O Zheng, D Wang, J Yin, Z Wang… - International Journal of …, 2023 - nature.com
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …

An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices

M Revilla‐León, DE Kois, JM Zeitler… - Journal of Esthetic …, 2023 - Wiley Online Library
Objectives Within the development of digital technologies, dental professionals aim to
integrate virtual diagnostic articulated casts obtained by using intraoral scanners (IOSs), the …

Augmented, virtual and mixed reality in dentistry: a narrative review on the existing platforms and future challenges

R Monterubbianesi, V Tosco, F Vitiello, G Orilisi… - Applied Sciences, 2022 - mdpi.com
The recent advancements in digital technologies have led to exponential progress in
dentistry. This narrative review aims to summarize the applications of Augmented Reality …

Deep learning: a primer for dentists and dental researchers

H Mohammad-Rahimi, R Rokhshad, S Bencharit… - Journal of Dentistry, 2023 - Elsevier
Objectives Despite deep learning's wide adoption in dental artificial intelligence (AI)
research, researchers from other dental fields and, more so, dental professionals may find it …

Artificial intelligence models for diagnosing gingivitis and periodontal disease: A systematic review

M Revilla-León, M Gómez-Polo, AB Barmak… - The Journal of Prosthetic …, 2023 - Elsevier
Statement of problem Artificial intelligence (AI) models have been developed for periodontal
applications, including diagnosing gingivitis and periodontal disease, but their accuracy and …

Critical analysis of artificial intelligence in endodontics: a scoping review

F Umer, S Habib - Journal of Endodontics, 2022 - Elsevier
Introduction Artificial intelligence (AI) comprises computational models that mimic the human
brain to perform various diagnostic tasks in clinical practice. The aim of this scoping review …

Best‐fit algorithm influences on virtual casts' alignment discrepancies

M Revilla‐León, A Gohil, AB Barmak… - Journal of …, 2023 - Wiley Online Library
Purpose To measure the influence of best‐fit (BF) algorithms (entire dataset, 3 or 6 points
landmark‐based, or section‐based BF) on virtual casts and their alignment discrepancies …

Application and performance of artificial intelligence technology in detection, diagnosis and prediction of dental caries (DC)—a systematic review

SB Khanagar, K Alfouzan, M Awawdeh, L Alkadi… - Diagnostics, 2022 - mdpi.com
Evolution in the fields of science and technology has led to the development of newer
applications based on Artificial Intelligence (AI) technology that have been widely used in …

[HTML][HTML] Accuracy of artificial intelligence-based photographic detection of gingivitis

RCW Chau, GH Li, IM Tew, KM Thu, C McGrath… - international dental …, 2023 - Elsevier
Objectives Gingivitis is one of the most prevalent plaque-initiated dental diseases globally. It
is challenging to maintain satisfactory plaque control without continuous professional …

Smile design: Mechanical considerations

M Alikhasi, P Yousefi, KI Afrashtehfar - Dental Clinics, 2022 - dental.theclinics.com
A smile is a facial expression of emotions through the contraction of facial expression
muscles to display the maxillary teeth, which can commonly influence how an individual fits …