Dental and Biological Aspects for the Design of an Integrated Wireless Warning System for Implant Supported Prostheses: A Possible Approach

Sannino, Gianpaolo; Sbardella, Diego; Cianca, Ernestina; Ruggieri, M.; Coletta, Massimo; Prasad, Ramjee

doi:10.1007/s11277-016-3244-6

Cited by 8 publications

(4 citation statements)

References 39 publications

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“…Microdisplacements can lead to failure of the components such as connection screws and prosthetic framework, which thereby leads microbial colonization in the gap between fixture and prosthesis, thus it increases the chances for developing peri-implantitis and bone resorption. Sannino et al 34 developed an IoT based integrated wireless and sensing technology to detect microdisplacements for implant supported prostheses to prevent mechanical implant failures (Table 3). The system includes a sensor for micro-displacement detection to be inserted in the prosthesis volume, with embedded wireless communications capabilities.…”

Section: Methodsmentioning

confidence: 99%

“…31 More prevalent mechanical failures include abutment and prosthetic screw loosening and fracturing, 32 microdisplacement of the prosthesis and abutment-implant connection. 33 IoT sensor mouthguards coupled with miniaturized instrumentation electronics for detecting salivary uric acid levels Kim et al 28 Dental implantology IoT based integrated wireless and sensing technology to detect microdisplacements for implant supported prostheses Sannino et al 34 Microdisplacements can lead to failure of the components such as connection screws and prosthetic framework, which thereby leads microbial colonization in the gap between fixture and prosthesis, thus it increases the chances for developing peri-implantitis and bone resorption. Sannino et al 34 developed an IoT based integrated wireless and sensing technology to detect microdisplacements for implant supported prostheses to prevent mechanical implant failures ( Table 3).…”

Section: Dental Implantologymentioning

confidence: 99%

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Internet of Things—A Novel Innovation in Dentistry

Sugumar

2020

Journal of Advanced Oral Research

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We are living in an era where medicine and dentistry are evolving. Dental caries, tooth malalignment and periodontal diseases are being encountered by dental specialists in their daily practices. New digital technologies are emerging in dentistry for diagnostic and treatment purposes. Digitization enhances our efficiency and saves time. One of the recent smart technological innovation in healthcare field is the Internet of Things (IoT). IoT consists of a network of physical gadgets embedded with instrumentation electronics, mounted chips and sensors. Through cloud web technology and internet connectivity, the required data collection is enabled. Acquired data is then exchanged to the doctors and analysis is done. This review article deals about the concept of IoT and its futuristic role in dentistry. The review article is based on the electronic searching and analysis of various international and national publications on the IoT concept in dentistry, medicine and biomedical engineering. A bench marking analysis was made on various applications, pros and cons of IoT in dentistry. IoT will play a paramount role in the clinical advancement aspects of diagnosis and management of various oral diseases in the forthcoming decades.

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Section: Methodsmentioning

confidence: 99%

Section: Dental Implantologymentioning

confidence: 99%

Internet of Things—A Novel Innovation in Dentistry

Sugumar

2020

Journal of Advanced Oral Research

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“…The proposed model accurately identified tooth structure, gaps, premolars, and molars, and was helpful in effectively extracting oral features for detecting dental caries, plaque, and periodontal diseases [ 158 ]. Sannino et al investigated IoT-based integrated wireless sensing technology to detect micro displacement to prevent implant failure [ 159 ]. IoDT is continuously increasing in dentistry to achieve evidence-based outcomes and improve treatment quality.…”

Section: Ethical Considerations and Future Research Directionsmentioning

confidence: 99%

A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health

et al. 2023

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Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases since the 1950s. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, and machine- and deep-learning models for dental disease diagnoses using X-ray and near-infrared imagery. Despite the notable development of AI in dentistry, certain factors affect the performance of the proposed approaches, including limited data availability, imbalanced classes, and lack of transparency and interpretability. Hence, it is of utmost importance for the research community to formulate suitable approaches, considering the existing challenges and leveraging findings from the existing studies. Based on an extensive literature review, this survey provides a brief overview of X-ray and near-infrared imaging systems. Additionally, a comprehensive insight into challenges faced by researchers in the dental domain has been brought forth in this survey. The article further offers an amalgamative assessment of both performances and methods evaluated on public benchmarks and concludes with ethical considerations and future research avenues.

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“…Such micro-displacements may also result in the failure of dental implants. To increase the rate survival of dental implants, Sannino et al [ 56 ] proposed a system to warn micro-displacements of the implant-prostheses connection. The system consisted of a micro-displacement sensor and wireless communications that can be put inside the prostheses.…”

Section: Advances In Point-of-care Devicesmentioning

confidence: 99%

Peri-implant diseases diagnosis, prognosis and dental implant monitoring: a narrative review of novel strategies and clinical impact

et al. 2023

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Background The diagnosis of peri-implantar and periodontal relies mainly on a set of clinical measures and the evaluation of radiographic images. However, these clinical settings alone are not sufficient to determine, much less predict, periimplant bone loss or future implant failure. Early diagnosis of periimplant diseases and its rate of progress may be possible through biomarkers assessment. Once identified, biomarkers of peri-implant and periodontal tissue destruction may alert the clinicians before clinical signs show up. Therefore, it is important to consider developing chair-side diagnostic tests with specificity for a particular biomarker, indicating the current activity of the disease. Methods A search strategy was created at Pubmed and Web of Science to answer the question: “How the molecular point-of-care tests currently available can help in the early detection of peri-implant diseases and throws light on improvements in point of care diagnostics devices?” Results The PerioSafe® PRO DRS (dentognostics GmbH, Jena) and ImplantSafe® DR (dentognostics GmbH, Jena ORALyzer® test kits, already used clinically, can be a helpful adjunct tool in enhancing the diagnosis and prognosis of periodontal/peri-implantar diseases. With the advances of sensor technology, the biosensors can perform daily monitoring of dental implants or periodontal diseases, making contributions to personal healthcare and improve the current status quo of health management and human health. Conclusions Based on the findings, more emphasis is given to the role of biomarkers in diagnosing and monitoring periodontal and peri-implant diseases. By combining these strategies with traditional protocols, professionals could increase the accuracy of early detection of peri-implant and periodontal diseases, predicting disease progression, and monitoring of treatment outcomes.

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Dental and Biological Aspects for the Design of an Integrated Wireless Warning System for Implant Supported Prostheses: A Possible Approach

Cited by 8 publications

References 39 publications

Internet of Things—A Novel Innovation in Dentistry

Internet of Things—A Novel Innovation in Dentistry

A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health

Peri-implant diseases diagnosis, prognosis and dental implant monitoring: a narrative review of novel strategies and clinical impact

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