Robotic approach to the reduction of dental anxiety in children

The efficacy of socially assistive robots in improving children's pain and negative affectivity during needle-based invasive treatment: A systematic review and meta-analysis

BACKGROUND

The ability of socially assistive robots (SARs) to treat dementia and Alzheimer's disease has been verified. Currently, to increase the range of their application, there is an increasing amount of interest in using SARs to relieve pain and negative emotions among children in routine medical settings. However, there is little consensus regarding the use of these robots.

OBJECTIVE

This study aimed to evaluate the effect of SARs on pain and negative affectivity among children undergoing invasive needle-based procedures.

DESIGN

This study was a systematic review and meta-analysis of randomized controlled trials that was conducted in accordance with the Cochrane Handbook guidelines.

METHODS

The PubMed, CINAHL, Web of Science, Cochrane Library, Embase, CNKI, and WanFang databases were searched from inception to January 2024 to identify relevant randomized controlled trials (RCTs). We used the Cochrane Risk of Bias tool 2.0 (RoB2.0) to assess the risk of bias among the included studies, and we used RevMan 5.4 software to conduct the meta-analysis. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) framework was used to assess the quality of the evidence.

RESULTS

Ten RCTs involving 815 pediatric subjects were selected for this review and reported outcomes related to pain and emotions during IV placement, port needle insertion, flu vaccination, blood sampling, and dental treatment. Children undergoing needle-related procedures with SARs reported less anxiety (SMD= -0.36; 95% CI= -0.64, -0.09) and fewer distressed avoidance behaviors (SMD= -0.67; 95% CI= -1.04, -0.30) than did those receiving typical care. There were nonsignificant differences between these groups in terms of in pain (SMD = -0.02; 95% CI = - 0.81, 0.78) and fear (SMD = 0.38; 95% CI= -0.06, 0.82). The results of exploratory subgroup analyses revealed no statistically significant differences based on the intervention type of robots or anesthetic use.

CONCLUSIONS

The use of SARs is a promising intervention method for alleviating anxiety and distress among children undergoing needle-related procedures. However, additional high-quality randomized controlled trials are needed to further validate these conclusions.

TRIAL REGISTRATION

The protocol of this study has been registered in the database PROSPERO (registration ID: CRD42023413279).

Non-pharmacological interventions for reducing dental anxiety in pediatric dentistry: a network meta-analysis

BACKGROUND

Child dental anxiety is a prevalent issue in the field of pediatric dentistry. At present, several non-pharmacological interventions are employed to mitigate anxiety during dental treatments for children. The objective of this study is to assess the effectiveness of diverse non-pharmacological interventions in reducing dental anxiety, as well as enhancing heart rate during pediatric dental treatments. To achieve this, we conducted a systematic review and a network meta-analysis (NMA) to compare the efficacy of various outcome indicators.

METHODS

A thorough search was conducted in the databases of PubMed, Embase, Web of Science, Cochrane Library, Scopus, APA PsycInfo, CINAHL, and AMED to identify all eligible randomized controlled trials (RCTs) from the beginning of the databases up to August 1, 2024. The quality assessment was carried out using the Cochrane Collaboration's bias risk tool. The two outcome measures under consideration were dental anxiety and heart rate. Network graphs, league tables and SUCRA were constructed using R 4.2.3 software and Stata 16 software. This study is registered in PROSPERO under the registration number CRD42023467610.

RESULTS

The study examined 12 different non-pharmacological approaches, drawing from a pool of 61 research studies involving 6,113 participants aged 4 to 16 years. The results of the network meta-analysis revealed that music (SUCRAs: 93.60%) proved to be the most effective measure in mitigating dental anxiety, followed by aromatherapy (SUCRAs: 78.58%) and game (SUCRAs: 70.99%). Moreover, hypnosis (SUCRAs: 98.80%), music (SUCRAs: 79.58%), and relaxation (SUCRAs: 72.41%) were identified as the top three interventions for decreasing heart rate.

CONCLUSION

In this NMA, when contemplating dental anxiety outcomes, music is recommended as a priority. For heart rate outcomes, hypnosis may be a preferred measure. However, owing to the limited number of articles, the conclusion of this study still requires additional confirmation or correction through more high-quality primary studies in the future.

Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection

BACKGROUND

Artificial intelligence (AI) based on deep learning (DL) algorithms has shown promise in enhancing the speed and accuracy of dental anomaly detection in paediatric dentistry.

AIM

This systematic review aimed to investigate the performance of AI systems in identifying dental anomalies in paediatric dentistry and compare it with human performance.

DESIGN

A systematic search of Scopus, PubMed and Google Scholar was conducted from 2012 to 2022. Inclusion criteria were based on problem/patient/population, intervention/indicator, comparison and outcome scheme and specific keywords related to AI, DL, paediatric dentistry, dental anomalies, supernumerary and mesiodens. Six of 3918 initial pool articles were included, assessing nine DL sub-systems that used panoramic radiographs or cone-beam computed tomography. Article quality was assessed using QUADAS-2.

RESULTS

Artificial intelligence systems based on DL algorithms showed promising potential in enhancing the speed and accuracy of dental anomaly detection, with an average of 85.38% accuracy and 86.61% sensitivity. Human performance, however, outperformed AI systems, achieving 95% accuracy and 99% sensitivity. Limitations included a limited number of articles and data heterogeneity.

CONCLUSION

The potential of AI systems employing DL algorithms is highlighted in detecting dental anomalies in paediatric dentistry. Further research is needed to address limitations, explore additional anomalies and establish the broader applicability of AI in paediatric dentistry.

Clinical application of robots in dentistry: A scoping review

PURPOSE

The surge in digitalization and artificial intelligence has led to the wide application of robots in various fields, but their application in dentistry started relatively late. This scoping review aimed to comprehensively explore and map the current status of the clinical application of robots in dentistry.

STUDY SELECTION

An iterative approach was used to gather as much evidence as possible from four online databases, including PubMed, the China National Knowledge Infrastructure, the Japan Science and Technology Information Aggregator, Electronic, and the Institute of Electrical and Electronics Engineers, from January 1980 to December 2022.

RESULTS

A total of 113 eligible articles were selected from the search results, and it was found that most of the robots were developed and applied in the United States (n = 56; 50%). Robots were clinically applied in oral and maxillofacial surgery, oral implantology, prosthodontics, orthodontics, endodontics, and oral medicine. The development of robots in oral and maxillofacial surgery and oral implantology is relatively fast and comprehensive. About 51% (n = 58) of the systems had reached clinical application, while 49% (n = 55) were at the pre-clinical stage. Most of these are hard robots (90%; n = 103), and their invention and development were mainly focused on university research groups with long research periods and diverse components.

CONCLUSIONS

There are still limitations and gaps between research and application in dental robots. While robotics is threatening to replace clinical decision-making, combining it with dentistry to gain maximum benefit remains a challenge for the future.

Ultraviolet disinfection (UV-D) robots: bridging the gaps in dentistry

Maintaining a microbe-free environment in healthcare facilities has become increasingly crucial for minimizing virus transmission, especially in the wake of recent epidemics like COVID-19. To meet the urgent need for ongoing sterilization, autonomous ultraviolet disinfection (UV-D) robots have emerged as vital tools. These robots are gaining popularity due to their automated nature, cost advantages, and ability to instantly disinfect rooms and workspaces without relying on human labor. Integrating disinfection robots into medical facilities reduces infection risk, lowers conventional cleaning costs, and instills greater confidence in patient safety. However, UV-D robots should complement rather than replace routine manual cleaning. To optimize the functionality of UV-D robots in medical settings, additional hospital and device design modifications are necessary to address visibility challenges. Achieving seamless integration requires more technical advancements and clinical investigations across various institutions. This mini-review presents an overview of advanced applications that demand disinfection, highlighting their limitations and challenges. Despite their potential, little comprehensive research has been conducted on the sterilizing impact of disinfection robots in the dental industry. By serving as a starting point for future research, this review aims to bridge the gaps in knowledge and identify unresolved issues. Our objective is to provide an extensive guide to UV-D robots, encompassing design requirements, technological breakthroughs, and in-depth use in healthcare and dentistry facilities. Understanding the capabilities and limitations of UV-D robots will aid in harnessing their potential to revolutionize infection control practices in the medical and dental fields.

Robots in travel clinics: building on tourism's use of technology and robots for infection control during a pandemic

The arrival of COVID-19 impacted every aspect of life around the world. The virus, whose spread was facilitated overwhelmingly by people's close contact at home and by travelling, devastated the tourism, hospitality, and transportation industry. Economic survival depended largely on demonstrating to authorities and potential travellers the strict adherence to infection control measures. Fortunately, long before the pandemic, the industry had already employed digital technology, artificial intelligence, and service robots, not to keep the world safe, but to either bridge staff shortages or save costs, reduce waiting times, streamline administration, complete unattractive, tedious, or physical tasks, or use technology as marketing gimmicks. With COVID-19, offering social distancing and touchless service was an easy step by extending quickly what was already there. The question arose: could travellers' acceptance of technology and robots for infection control be useful in travel medicine? COVID-19 fostered the rapid and increased acceptance of touchless technology relating to all things travel. The public's expectations regarding hygiene, health and safety, and risk of infection have changed and may stay with us long after the pandemic is 'the new normal', or a new one approaches. This insight, combined with the current experience with robots in health and medicine, is useful in exploring how robots could assist travel medicine practice. However, several aspects need to be considered in terms of type of robot, tasks required, and the public's positive or negative attitudes towards robots to avoid known pitfalls. To meet the crucial infection control measures of social distancing and touch avoidance, the use of robots in travel medicine may not only be readily accepted but expected, and implications for management, practice, and research need to be considered.

Children's Dental Fear: Occurrence Mechanism and Prevention Guidance

Children's dental fear (CDF) has become one of the main reasons affecting the quality of dental treatment. In order to reduce the incidence of CDF in China before and after children's dental visits, this review applies literature analysis and empirical summary methods to analyze and summarize academic discussions on this topic, including occurrence mechanism, prevention guidance, and the conclusion that the occurrence and prevention of CDF is closely related with children's internal characteristics and external influences. In the end, we propose a breakthrough of combining the CFSS-DS scale and three-grade prevention theory together in the future to provide new ideas and hypotheses for the prevention of CDF.

Effects of robot-assisted digital storytelling on hospitalized children's communication during the COVID-19 pandemic

This study proposed a robot-assisted digital storytelling approach to reduce hospitalized children's anxiety about intravenous injections and to improve their therapeutic communication and therapeutic engagement. In order to verify the effectiveness of the robot-assisted digital storytelling approach, a randomized controlled study was implemented. A total of 47 children from a regional hospital were randomly assigned to an experimental group (n = 21) and a control group (n = 26). The experimental group adopted the robot-assisted digital storytelling approach in health education for intravenous injections, while the control group received video-based health education. The study results indicated that the proposed robot-assisted digital storytelling approach not only reduced the children's anxiety, but also had positive effects on children's communication about intravenous injections, emotions during hospitalization, and therapeutic engagement. As a consequence, it is suggested that educators and researchers consider adopting robot-assisted digital storytelling to facilitate nursing clinical health education for children.

Applications and perspectives of artificial intelligence, machine learning and “dentronics” in dentistry: A literature review

Objective

The aim of this study was to describe artificial intelligence, machine learning, and "Dentronics" applications and perspectives in dentistry.

Materials and Methods

A literature review was carried out to identify the applications of artificial intelligence in the field of dentistry. A specialized search for information was carried out in three databases such as Scopus, PubMed, and Web of Science. Manuscripts published from January 1988 to November 2021 were analyzed. Articles were included without any restriction by language or country.

Results

Scopus, PubMed, and Web of Science were found to have 215, 1023, and 98 registered manuscripts, respectively. Duplicates (191 manuscripts) were eliminated. Finally, 4 letters, 12 editorials, 5 books, 1 erratum, 54 conference papers, 3 conference reviews, and 222 reviews were excluded.

Conclusions

Artificial intelligence has revolutionized prediction, diagnosis, and therapeutic management in modern dentistry. Finally, artificial intelligence is a potential complement to managing future data in this area.

Effects of artificial intelligence aibo intervention on alleviating distress and fear in children

BACKGROUND

Procedures and actions such as injections and immobilization cause distress to children. In the pediatric field, there is a need for interventions and support to alleviate the pain and distress caused by such medical procedures. In recent years, the introduction of robots as a means of distraction has begun to be attempted.

METHODS

In this study, we conducted a non-randomized controlled trial to examine the effect of intervention using 'aibo', a dog-like robot which has artificial intelligence (AI), to promote distraction in children after vaccination. Children between the ages of 3 and 12 years old eligible for the Japanese encephalitis vaccine, and their caregivers were assigned to intervention group or control group. Then, children evaluated their pain and children's behavior were observed by observer. The mean values of Faces pain rating scale scores and observer pain scale scores were compared between groups using an unpaired t-test.

RESULTS

Fifty-seven children (32 in the intervention group) participated in the study. Results of a t-test with the control group showed that the intervention group using aibo had significantly less pain following the post-vaccination intervention than the control group using stuffed dog (Face Scale, t(55) = 2.582, p = .0125; Behavioral Observation Scale, t(55) = 2.772, p = .00759). The results support the hypothesis that the aibo intervention group will be less distressed and able to calm down more quickly after vaccination than the control group.

CONCLUSION

Interactive communicative play intervention by an artificially intelligent aibo before and after painful and frightening medical procedures may alleviate fear and anxiety and prevent medical trauma in children.

Efficacy and safety of mineral trioxide aggregate (MTA) pulpotomy for caries-exposed permanent teeth in children: a systematic review and meta-analysis

BACKGROUND

This study aimed to evaluate the effect of mineral trioxide aggregate (MTA) pulp capping for caries-exposed permanent teeth. However, the efficacy of MTA in the treatment of children's gums is still controversial, and different studies have shown different efficacy. Therefore, it is necessary to systematically review the efficacy and safety of MTA pulp incision in the treatment of pediatric caries using meta methods.

METHODS

We used meta-analysis to compare differences in the efficacy of MTA and calcium hydroxide (CH) for treating caries in permanent teeth. The mean treatment success rate of MTA for reversible and irreversible pulpitis groups was calculated, and the effect of apical opening condition and surgical type on success rate were investigated.

RESULTS

A total of 15 studies were included, and meta-analysis showed that there was a significant statistical difference between the MTA group and CH group in efficacy [odds ratio (OR) =1.87, 95% confidence interval (CI): 1.28, 2.73, P=0.001, I²=63%, Z=3.25], success rate (OR =3.20, 95% CI: 1.93, 5.30, P<0.00001, I²=0%, Z=4.52), influence of apical foramen condition on success rate (OR =1.77, 95% CI: 1.14, 2.73, P=0.01, I²=15%, Z=2.56), and surgical procedure on success rate (OR =2.64, 95% CI: 1.65, 4.23, P<0.0001, I²=45%, Z=4.05).

DISCUSSION

Our results showed that MTA pulpotomy was superior to CH. Nonclosure of apical openings and complete coronal pulpotomy may be more beneficial than partial pulpotomy.

Robot technology in dentistry, part one of a systematic review: literature characteristics

OBJECTIVES

To provide dental practitioners and researchers with a comprehensive and transparent evidence-based overview of the characteristics of literature regarding initiatives of robot technology in dentistry.

DATA

All articles in which robot technology in dentistry is described, except for non-scientific articles and articles containing secondary data (reviews). Amongst others, the following data were extracted: type of study, level of technological readiness, authors' professional background and the subject of interaction with the robot.

SOURCES

Bibliographic databases PubMed, Embase, and Scopus were surveyed. A reference search was conducted. The search timeline was between January 1985 and October 2020.

STUDY SELECTION

A total of 911 articles were screened on title and abstract of which 161 deemed eligible for inclusion. Another 71 articles were excluded mainly because of unavailability of full texts or the sole use of secondary data (reviews). Four articles were included after hand searching the reference lists. In total, 94 articles were included for analysis.

CONCLUSIONS

Since 2013 an average of six articles per year concern robot initiatives in dentistry, mostly originating from East Asia (57%). The vast majority of research was categorized as either basic theoretical or basic applied research (80%). Technology readiness levels did not reach higher than three (proof of concept) in 55% of all articles. In 84%, the first author of the included articles had a technical background and in 36%, none of the authors had a dental or medical background. The overall quality of literature, especially in terms of clinical validation, should be considered as low.

Robot technology in dentistry, part two of a systematic review: an overview of initiatives

OBJECTIVES

To provide dental practitioners and researchers with a comprehensive and transparent evidence-based overview of physical robot initiatives in all fields of dentistry.

DATA

Articles published since 1985 concerning primary data on physical robot technology in dentistry were selected. Characteristics of the papers were extracted such as the respective field of dentistry, year of publication as well as a description of its usage.

SOURCES

Bibliographic databases PubMed, Embase, and Scopus were searched. A hand search through reference lists of all included articles was performed.

STUDY SELECTION

The search timeline was between January 1985 and October 2020. All types of scientific literature in all languages were included concerning fields of dentistry ranging from student training to implantology. Robot technology solely for the purpose of research and maxillofacial surgery were excluded. In total, 94 articles were included in this systematic review.

CONCLUSIONS

This study provides a systematic overview of initiatives using robot technology in dentistry since its very beginning. While there were many interesting robot initiatives reported, the overall quality of the literature, in terms of clinical validation, is low. Scientific evidence regarding the benefits, results and cost-efficiency of commercially available robotic solutions in dentistry is lacking. The rise in availability of open source control systems, compliant robot systems and the design of dentistry-specific robot technology might facilitate the process of technological development in the near future. The authors are confident that robotics will provide useful solutions in the future but, strongly, encourage an evidence-based approach when adapting to new (robot) technology.

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and simulation of orthodontic problems; (3) robotics in orthodontic patient education, teaching, and training; (4) wire bending and customized appliance robotics; (5) nanorobots/microrobots for acceleration of tooth movement and for remote monitoring; (6) robotics in maxillofacial surgeries and implant placement; (7) automated aligner production robotics; and (8) TMD rehabilitative robotics. A total of 1,150 records were searched, of which 124 potentially relevant articles were retrieved in full. 87 studies met the selection criteria following screening and were included in the scoping review. The review found that studies pertaining to arch wire bending and customized appliance robots, simulative robots for diagnosis, and surgical robots have been important areas of research in the last decade (32%, 22%, and 16%). Rehabilitative robots and nanorobots are quite promising and have been considerably reported in the orthodontic literature (13%, 9%). On the other hand, assistive robots, automated aligner production robots, and patient robots need more scientific data to be gathered in the future (1%, 1%, and 6%). Technological readiness of different robotic applications in orthodontics was further assessed. The presented eight domains of robotic technologies were assigned to an estimated technological readiness level according to the information given in the publications. Wire bending robots, TMD robots, nanorobots, and aligner production robots have reached the highest levels of technological readiness: 9; diagnostic robots and patient robots reached level 7, whereas surgical robots and assistive robots reached lower levels of readiness: 4 and 3, respectively.