An automatic robotic system for three-dimensional tooth crown preparation using a picosecond laser

Wang, Lei; Wang, Dangxiao; Zhang, Yuru; Ma, Lei; Sun, Yuchun; Lv, Peijun

doi:10.1002/lsm.22274

Cited by 24 publications

(14 citation statements)

References 26 publications

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“…For abutment tooth preparation, an ablation system combining robotics and picosecond laser has been developed. In vitro results indicated that the average linear ablation errors of this system were only 0.06 mm for wax resin and 0.05 mm for dentin (Wang et al 2014). However, the long ablation time for dentin (3.5 h) precluded its clinical application.…”

Section: Applications Of Ai In Dentistrymentioning

confidence: 98%

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Application of Artificial Intelligence in Dentistry

2020

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Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human behavior. To appreciate human-technology interaction in the clinical setting, augmented intelligence has been proposed as a cognitive extension of AI in health care, emphasizing its assistive and supplementary role to medical professionals. While truly autonomous medical robotic systems are still beyond reach, the virtual component of AI, known as software-type algorithms, is the main component used in dentistry. Because of their powerful capabilities in data analysis, these virtual algorithms are expected to improve the accuracy and efficacy of dental diagnosis, provide visualized anatomic guidance for treatment, simulate and evaluate prospective results, and project the occurrence and prognosis of oral diseases. Potential obstacles in contemporary algorithms that prevent routine implementation of AI include the lack of data curation, sharing, and readability; the inability to illustrate the inner decision-making process; the insufficient power of classical computing; and the neglect of ethical principles in the design of AI frameworks. It is necessary to maintain a proactive attitude toward AI to ensure its affirmative development and promote human-technology rapport to revolutionize dental practice. The present review outlines the progress and potential dental applications of AI in medical-aided diagnosis, treatment, and disease prediction and discusses their data limitations, interpretability, computing power, and ethical considerations, as well as their impact on dentists, with the objective of creating a backdrop for future research in this rapidly expanding arena.

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Section: Applications Of Ai In Dentistrymentioning

confidence: 98%

“…Two types of AI are available for general health care delivery: physical and virtual. Physical applications are represented by sophisticated robots or automated robotic arms (Wang et al 2014). Virtual components are software-type algorithms that support clinical decision making.…”

Section: Artificial Intelligencementioning

confidence: 99%

Application of Artificial Intelligence in Dentistry

2020

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“…Disagreement between authors Rekow [25] [29,30,38]. Furthermore, the computer color matching (CCM) technique provides an accurate color matching of dental restorations, together with the automatic laser ablation system for clinical crown preparation [14,44]. Overall, the above methods if introduced into routine practice can be helpful in diagnosis and treating dental diseases.…”

Section: Author and Year Reason Of Exclusionmentioning

confidence: 99%

“…According to the standards described in the Cochrane Handbook for Systematic Reviews of Interventions (v5.1.0) [19], the following findings were recorded. Out of the 32 studies [5][6][7][8][9][10][11][12][13][14][15][16][17][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45] assessed, 1 study employed blinding [6]. In 5 studies, randomizations [5,7,34,37,39] were performed.…”

Section: Author and Year Reason Of Exclusionmentioning

confidence: 99%

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Ahmed

Abbasi

Zuberi

et al. 2021

BioMed Research International

125

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Objective. The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials and Methods. Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry. Two investigators performed an electronic search in 5 databases: PubMed/MEDLINE (National Library of Medicine), Scopus (Elsevier), ScienceDirect databases (Elsevier), Web of Science (Clarivate Analytics), and the Cochrane Collaboration (Wiley). The English language articles reporting on AI in different dental specialties were screened for eligibility. Thirty-two full-text articles were selected and systematically analyzed according to a predefined inclusion criterion. These articles were analyzed as per a specific research question, and the relevant data based on article general characteristics, study and control groups, assessment methods, outcomes, and quality assessment were extracted. Results. The initial search identified 175 articles related to AI in dentistry based on the title and abstracts. The full text of 38 articles was assessed for eligibility to exclude studies not fulfilling the inclusion criteria. Six articles not related to AI in dentistry were excluded. Thirty-two articles were included in the systematic review. It was revealed that AI provides accurate patient management, dental diagnosis, prediction, and decision making. Artificial intelligence appeared as a reliable modality to enhance future implications in the various fields of dentistry, i.e., diagnostic dentistry, patient management, head and neck cancer, restorative dentistry, prosthetic dental sciences, orthodontics, radiology, and periodontics. Conclusion. The included studies describe that AI is a reliable tool to make dental care smooth, better, time-saving, and economical for practitioners. AI benefits them in fulfilling patient demand and expectations. The dentists can use AI to ensure quality treatment, better oral health care outcome, and achieve precision. AI can help to predict failures in clinical scenarios and depict reliable solutions. However, AI is increasing the scope of state-of-the-art models in dentistry but is still under development. Further studies are required to assess the clinical performance of AI techniques in dentistry.

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“…A comparison of another tooth preparation robotic system designed for dental veneers having a rotating diamond tool installed on a robot arm was performed with crown preparation carried out by a human clinician [ 63 ]. The results demonstrated better outcomes in comparison with the crown preparation performed by the clinician with an average repetition ability of the robotic system of around 40 µm [ 64 , 65 ].…”

Section: Robots In Dentistrymentioning

confidence: 99%

Dental Robotics: A Disruptive Technology

Ahmad¹,

Alam

Aldajani

et al. 2021

Sensors

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Robotics is a disruptive technology that will change diagnostics and treatment protocols in dental medicine. Robots can perform repeated workflows for an indefinite length of time while enhancing the overall quality and quantity of patient care. Early robots required a human operator, but robotic systems have advanced significantly over the past decade, and the latest medical robots can perform patient intervention or remote monitoring autonomously. However, little research data on the therapeutic reliability and precision of autonomous robots are available. The present paper reviews the promise and practice of robots in dentistry by evaluating published work on commercial robot systems in dental implantology, oral and maxillofacial surgery, prosthetic and restorative dentistry, endodontics, orthodontics, oral radiology as well as dental education. In conclusion, this review critically addresses the current limitations of dental robotics and anticipates the potential future impact on oral healthcare and the dental profession.

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An automatic robotic system for three-dimensional tooth crown preparation using a picosecond laser

Cited by 24 publications

References 26 publications

Application of Artificial Intelligence in Dentistry

Application of Artificial Intelligence in Dentistry

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Dental Robotics: A Disruptive Technology

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