Present and future of artificial intelligence in dentistry

Tandon, Divya; Rajawat, Jyotika; Banerjee, Monisha

doi:10.1016/j.jobcr.2020.07.015

Cited by 103 publications

(79 citation statements)

References 29 publications

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“…With respect to precision oral health, AI could potentially be used to help identify which treatments or combinations are best suited for a particular individual based on a large number of factors, such as age at diagnosis, comorbid conditions, current and past medication use, and lifestyle factors. Perspectives on the potential for AI in dentistry are presented in greater depth elsewhere [ 66 , 68 , 69 , 70 ].…”

Section: Resultsmentioning

confidence: 99%

Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention

Rindal

Mabry

2021

JPM

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Introduction: Precision medicine is focused on serving the unique needs of individuals. Oral and oropharyngeal cancer risk assessment identifies individual risk factors while providing support to reduce risk. The objective is to examine potential current and future strategies to broadly implement evidence-based oral and oropharyngeal cancer risk assessment and screening in dental practices throughout the United States. Methods: Feasible and effective oral cancer risk assessment and risk reduction strategies, ripe for implementation in dental practice, were identified in the published literature. Results: The Screening, Brief Intervention, Referral for Treatment (SBIRT) model is a feasible approach to assessing individual oral cancer risk and providing risk reducing interventions in the dental setting. HPV is a more recently identified risk factor that dentistry is well positioned to address. Evidence supporting the utilization of specific risk assessment tools and risk reduction strategies is summarized and future opportunities discussed. Discussion: Current knowledge of risk factors for oral and oropharyngeal cancers support the recommendation for dental providers to routinely assess all patients for risk factors, educate them about their personal level of cancer risk, and recommend actions to reduce relevant risk factors. Individuals ages 9–26 should be asked about their HPV vaccination status, educated about HPV and oropharyngeal cancer and receive a recommendation to get the HPV vaccination.

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Section: Resultsmentioning

confidence: 99%

Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention

Rindal

Mabry

2021

JPM

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“…Empathy is one of the main characteristics that is not expected to be seen in robots. Hence challenges both in technical and in ethical aspects still exist [44].…”

Section: Obstacles and Limitations Of Robotic Dentistrymentioning

confidence: 99%

“…Dental professionals are hesitant to adopt AI-based technologies. An alternative solution that brings together the capabilities of technology and the dentist reconciling both AI and human features is preferred so that the process of data collection and categorization be trouble free and in spite of sustaining the human aspects of clinical care [44].…”

Section: Obstacles and Limitations Of Robotic Dentistrymentioning

confidence: 99%

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

Hassani

Andi

Ghodsi

et al. 2021

IoT

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Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

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“…It can alert the patient and the dentist of any genetic or lifestyle mutative disease indicating increased susceptibility to dental diseases. It also helps in online emergency health consultancies [7,9]. In this time of pandemic online consultations have gained increased importance owing to which a virtual database gives easy access to the medical and dental history of the patient making it easier for dentist/ doctor to treat the patient.…”

Section: Application Of Artificial Intelligence In Different Fields Of Dentistrymentioning

confidence: 99%

“…This concept helps achieve the finishing of dental restorations with exactness. It helps to design inlays, onlays, crowns and bridges in less time and reduces the chances of error making [9]. An innovative tool in aesthetic dentistry is Digital smile Designing (DSD).…”

Section: Application Of Artificial Intelligence In Different Fields Of Dentistrymentioning

confidence: 99%

Artificial intelligence in dentistry and its future

Roy¹,

Vivekananda²,

Singh³

2021

GSC Adv. Res. Rev.

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Technology is evolving every day and the latest trends in Artificial Intelligence have made dental procedures less time consuming and minimally invasive. With their application the decision making processes have become easier and faster. Patients are more comfortable and dentists are more confident about their work. This advent of technology into medical science has made both practitioners and their patients comfortable and confident about the treatment rendered and received. The use of machine learning has made the decision making process easier by stimulating human intelligence into the machines that are programmed to think like humans and mimic their actions. Artificial Intelligence has proved itself to be a boon in the field of dentistry. In future AI based comprehensive care systems are expected to have high quality patient care and help researchers know and treat more about diseases. Even though misconceptions and certain limitations about Artificial Intelligence prevails, it still continues to flourish due to its advantages in providing precision.

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Present and future of artificial intelligence in dentistry

Cited by 103 publications

References 29 publications

Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention

Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

Artificial intelligence in dentistry and its future

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