Dental disease is the first complaint of 10 major diseases in Indonesia. Almost the entire population of Indonesia has dental and oral health problems. Delay in early detection of dental and oral health problems can result in loss of productivity, longer duration of treatment, loss of teeth, higher costs, complications with other organs, which can lead to death due to cancer. We propose the invention concerns wireless oral image recording instruments and identification methods thereof. Several existing inventions do not yet have the following features including wireless connection, object detection, and prediction of oral and dental diseases that integrate the knowledge of clinical experts using the application. The purpose of this invention was to add to the features mentioned above by using Artificial Intelligence of Medical Things (AIoMT) concept, designing object detection based on deep learning (DL) algorithms, and integrating prediction systems high performance using collaborative datasets. This invention integrated intraoral image recording hardware in the Intraoral Camera Unit (ICU) with software in the Display Processing Unit (DPU) which produces visualization of predicted results, and a webserver unit as a data collection unit and image classifier according to the validated disease interpretation. The integration of these three units can then be used by medical scholars, researchers and medical practitioners to strengthen the reliability of the interpretation process, especially related to oral diseases using an integrated digital dental support system.
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23 May 2024
THE 1ST NEW DENTAL RESEARCH EXHIBITION AND MEETING (NEW DREAM) 2023
9–10 August 2023
Yogyakarta, Indonesia
Research Article|
May 23 2024
Development of smart intraoral camera using artificial intelligence of medical things for digital dental support system Available to Purchase
Karisma Trinanda Putra;
Karisma Trinanda Putra
b)
1
Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta
, Bantul, Special Region of Yogyakarta, Indonesia
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Cahya Damarjati;
Cahya Damarjati
c)
2
Department of Informatics Engineering, Universitas Muhammadiyah Yogyakarta
, Bantul, Special Region of Yogyakarta, Indonesia
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Abu Bakar;
Abu Bakar
a)
3
Department of Oral Medicine, Faculty of Dentistry, Baiturrahmah University
, Padang, West Sumatra, Indonesia
a)Corresponding author: [email protected]
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Valendriyani Ningrum;
Valendriyani Ningrum
d)
4
Department of Dental Public Health, Faculty of Dentistry, Baiturrahmah University
, Padang, West Sumatra, Indonesia
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Muhammad Ihsan;
Muhammad Ihsan
e)
1
Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta
, Bantul, Special Region of Yogyakarta, Indonesia
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Hsing-Chung Chen
Hsing-Chung Chen
f)
5
Department of Informatics Engineering, Asia University
, Wufeng District, Taichung City, Taiwan
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Karisma Trinanda Putra
1,b)
Cahya Damarjati
2,c)
Abu Bakar
3,a)
Valendriyani Ningrum
4,d)
Muhammad Ihsan
1,e)
Hsing-Chung Chen
5,f)
1
Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta
, Bantul, Special Region of Yogyakarta, Indonesia
2
Department of Informatics Engineering, Universitas Muhammadiyah Yogyakarta
, Bantul, Special Region of Yogyakarta, Indonesia
3
Department of Oral Medicine, Faculty of Dentistry, Baiturrahmah University
, Padang, West Sumatra, Indonesia
4
Department of Dental Public Health, Faculty of Dentistry, Baiturrahmah University
, Padang, West Sumatra, Indonesia
5
Department of Informatics Engineering, Asia University
, Wufeng District, Taichung City, Taiwan
a)Corresponding author: [email protected]
AIP Conf. Proc. 3127, 020041 (2024)
Citation
Karisma Trinanda Putra, Cahya Damarjati, Abu Bakar, Valendriyani Ningrum, Muhammad Ihsan, Hsing-Chung Chen; Development of smart intraoral camera using artificial intelligence of medical things for digital dental support system. AIP Conf. Proc. 23 May 2024; 3127 (1): 020041. https://doi.org/10.1063/5.0215961
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