|Junichi Yamazoe||Last modified date：2023.09.23|
Lecturer / Division of Maxillofacial Diagnostic and Surgical Science
Kyushu University Hospital
Kyushu University Hospital
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Reseacher Profiling Tool Kyushu University Pure
Faculty of Dental Science, Kyushu university .
Country of degree conferring institution (Overseas)
Field of Specialization
Dentistry of the elderly, sick person. Disaster dentistry and oral medicine, forensic dental science.
Total Priod of education and research career in the foreign country
Research InterestsMembership in Academic Society
- Development of the practical social oral medical system aiming at "security, relief, tough social creation"
keyword : Disaster medical care, dental jurisprudence, artificial intelligence
- Development of the oral plane management, meal support program aiming at the orthobiosis support of patients with chronic kidney disease
keyword : Taste, quality of life, dialysis
- The development of rapid and high-accurate systems for disaster legal dental science with artificial intelligence(AI)
keyword : dental chart, disaster, artificial intelligence, intra-oral 3D scanner
- Assessment of taste in management of oral function
keyword : oral function, support of eating, method of taste examination, oral frailty
- Disaster Oral Medicine
keyword : forensic dentistry, community-based integrated care
- The investigation of mechanisms of dysphagia in cancer therapy and the development of treatment for dysphagia
keyword : cancer therapy, chemotherapy, dysphagia
- Development of titanium for dental treatment with high corrosion resistance
keyword : titanium, titanium alloys, corrosion, flioride, titanium for dental treatment, implant
- Research of improvement of surface of dental implant
keyword : titanium, Ti-6Al-4Al, Zr, bioactive, osseointegration, bone conductivity
|1.||Nozomi Eto , Junichi Yamazoe, Akiko Tsuji, Naohisa Wada, Noriaki Ikeda, Development of an artificial intelligence-based algorithm to classify images acquired with an intraoral scanner of individual molar teeth into three categories, PLOS ONE, 10.1371/journal.pone.0261870, 2022.01, [URL], Background
Forensic dentistry identifies deceased individuals by comparing postmortem dental charts, oral-cavity pictures and dental X-ray images with antemortem records. However, conventional forensic dentistry methods are time-consuming and thus unable to rapidly identify large numbers of victims following a large-scale disaster.
Our goal is to automate the dental filing process by using intraoral scanner images. In this study, we generated and evaluated an artificial intelligence-based algorithm that classified images of individual molar teeth into three categories: (1) full metallic crown (FMC); (2) partial metallic restoration (In); or (3) sound tooth, carious tooth or non-metallic restoration (CNMR).
A pre-trained model was created using oral-cavity pictures from patients. Then, the algorithm was generated through transfer learning and training with images acquired from cadavers by intraoral scanning. Cross-validation was performed to reduce bias. The ability of the model to classify molar teeth into the three categories (FMC, In or CNMR) was evaluated using four criteria: precision, recall, F-measure and overall accuracy.
The average value (variance) was 0.952 (0.000140) for recall, 0.957 (0.0000614) for precision, 0.952 (0.000145) for F-measure, and 0.952 (0.000142) for overall accuracy when the algorithm was used to classify images of molar teeth acquired from cadavers by intraoral scanning.
We have created an artificial intelligence-based algorithm that analyzes images acquired with an intraoral scanner and classifies molar teeth into one of three types (FMC, In or CNMR) based on the presence/absence of metallic restorations. Furthermore, the accuracy of the algorithm reached about 95%. This algorithm was constructed as a first step toward the development of an automated system that generates dental charts from images acquired by an intraoral scanner. The availability of such a system would greatly increase the efficiency of personal identification in the event of a major disaster.
|2.||Ayana Osaki, Keisuke Sanematsu, Junichi Yamazoe, Fumie Hirose, Yu Watanabe, Yuko Kawabata, Asami Oike, Ayaka Hirayama, Yu Yamada, Shusuke Iwata, Shingo Takai, Naohisa Wada and Noriatsu Shigemura., Drinking Ice-cold Water Reduces the Severity of Anticancer Drug-induced Taste Dysfunction in Mice, International Journal of Molecular Sciences, FOR PEER REVIEW, 21, 2020.12, Taste disorders are common adverse effects of cancer chemotherapy that can reduce quality of life and impair nutritional status. However, the molecular mechanisms underlying chemotherapy-induced taste disorders remain largely unknown. Furthermore, there are no effective preventive measures for chemotherapy-induced taste disorders. We investigated the effects of a combination of three anticancer drugs (TPF: docetaxel, cisplatin and fluorouracil) on the structure and function of mouse taste tissues and examined whether the drinking of ice-cold water after TPF administration would attenuate these effects. TPF administration significantly increased the number of cells expressing apoptotic and proliferative markers. Furthermore, TPF administration significantly reduced the number of cells expressing taste cell markers and the magnitudes of the responses of taste nerves to tastants. The above results suggest that anticancer drug-induced taste dysfunction may be due to a reduction in the number of taste cells expressing taste-related molecules. The suppressive effects of TPF on taste cell marker expression and taste perception were reduced by the drinking of ice-cold water. We speculate that oral cryotherapy with an ice cube might be useful for prophylaxis against anticancer drug-induced taste disorders in humans..|
|3.||An analysis of the disaster dental support missions of oral general practitioner belonging to university hospital in Kyushu area.|
|4.||Masaharu Nakagawa and Jyunichi Yamazoe, Effect of CaCl2 hydrothermal treatment on the bone bond strength and osteoconductivity of Ti–0.5Pt and Ti–6Al–4V–0.5Pt alloy implants, Journal of Materials Science: Materials in Medicine, 10.1007/s10856-009-3799-9, 20, 2295-2303, 2009.11.|
|5.||J. Yamazoe, M. Nakagawa, Y Matono, A. Takeuchi, K. Ishikawa., The Development of Ti Alloys for Dental Implant with High Corrosion Resistance and Mechanical Strength., Dental Materials Journal, Vol.26(2), 260-267., 2007.03.|
- Japanese stomatological society
- Japanese association for disaster medicine
- Japanese society of forensic dental science
- Japanese society of legal medicine
- Japanese society of dysphagia rehabilitation
- Japanese society of gerodontology
- Japanese dental society of anesthesiology
- Japanese society for disability and oral health
- Japanese society of periodontology
- Japanese society of oral implantology