In this intellectual work, the clinical and educational aspects of dentistry were confronted with practical applications of artificial intelligence (AI). The aim was to provide an up-to-date overview of the upcoming changes and a brief analysis of the influential advancements in the use of AI in dental education since 2020. In addition, this review provides a guide for a dental curriculum update for undergraduate and postgraduate education in the context of advances in AI applications and their impact on dentistry. Unsurprisingly, most dental educators have limited knowledge and skills to assess AI applications, as they were not trained to do so. Also, AI technology has evolved exponentially in recent years. Factual reliability and opportunities with OpenAI Inc.’s ChatGPT are considered critical inflection points in the era of generative AI. Updating curricula at dental institutions is inevitable as advanced deep-learning approaches take over the clinical areas of dentistry and reshape diagnostics, treatment planning, management, and telemedicine screening. With recent advances in AI language models, communication with patients will change, and the foundations of dental education, including essay, thesis, or scientific paper writing, will need to adapt. However, there is a growing concern about its ethical and legal implications, and further consensus is needed for the safe and responsible implementation of AI in dental education.

Health professionals, such as medical and dental clinicians, have scant understanding of patients’ experiences and perceptions of satisfaction. Nevertheless, implementing a patient-reported outcome measures (PROMs) research practice in surgical sciences is necessary. Hence, the objective of this article was to better understand patients’ satisfaction with their medical and dental care. The methods of the current article are based on a narrative review of the literature strategy. A literature review was conducted using both EMBASE and Medline databases up to July 12, 2020, by combining keywords and terms related to “satisfaction theories” and “patient satisfaction,” and “medicine” or “dentistry/stomatology/odontology.” Patient satisfaction’s multidimensional nature has been established since the perceived reasons for satisfaction varied widely among patients. Many aspects of treatment influence participant satisfaction at different stages of the intervention process. An improved understanding of the basis for managing patients’ expectations with information reiteratively and efficiently may ultimately reduce patients’ potential for negative feelings toward the medical and dental treatment experience. Lastly, the consumerist method may misrepresent the still undertheorized concept of satisfaction in health service.

All disciplines of dentistry require that clinicians assess the articulation of the teeth/prosthesis with respect to simultaneous contacts, bite force and timing. This article intends to describe the advantages and limitations of the data acquired when using a computerized occlusal analysis as a dynamic occlusal indicator. A search of the literature was completed (Medline, PubMed) using the keywords occlusion, occlusal registration, computerized occlusal analysis and T-Scan for dental. According to the evidence available, the computerized occlusal analysis system is the only occlusal indicator that demonstrates the ability to provide quantifiable force and time variance in a real-time window from the initial tooth contact into maximum intercuspation. The reported advantages to accurately indicate occlusal contacts make the computerized occlusal analysis system a better occlusal indicator when compared with other non-digital convention indicator materials available.