K
Kazuhiko Nakata
Researcher at Aichi Gakuin University
Publications - 49
Citations - 1386
Kazuhiko Nakata is an academic researcher from Aichi Gakuin University. The author has contributed to research in topics: Cellular differentiation & Cell growth. The author has an hindex of 18, co-authored 49 publications receiving 1147 citations.
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Journal ArticleDOI
Success rate of endodontic treatment of teeth with vital and nonvital pulps. A meta-analysis
Koko Kojima,Kyoko Inamoto,Kumiko Nagamatsu,Akiko Hara,Kazuhiko Nakata,Ichizo Morita,Haruo Nakagaki,Hiroshi Nakamura +7 more
TL;DR: Meta-analysis statistics were used to determine the influence of factors such as apical limit, overextension, status of the pulp, and periapical status on endodontic prognosis and the rates for vital and nonvital teeth were similar to those for vital ones.
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A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography
Teruhiko Hiraiwa,Yoshiko Ariji,Motoki Fukuda,Yoshitaka Kise,Kazuhiko Nakata,Akitoshi Katsumata,Hiroshi Fujita,Eiichiro Ariji +7 more
TL;DR: The deep learning system showed high accuracy in the differential diagnosis of a single or extra root in the distal roots of mandibular first molars.
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Effectiveness of dental computed tomography in diagnostic imaging of periradicular lesion of each root of a multirooted tooth: a case report.
Kazuhiko Nakata,Munetaka Naitoh,Masahiro Izumi,Kyoko Inamoto,Eiichiro Ariji,Hiroshi Nakamura +5 more
TL;DR: The 3DX, a newly developed dental computed tomography, provides abundant new image information not attainable by either intraoral radiography or panoramic radiography, and its application for clinical use is very effective for examining and diagnosing regions of interest for endodontic therapy.
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Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography
Motoki Fukuda,Kyoko Inamoto,Naoki Shibata,Yoshiko Ariji,Yudai Yanashita,Shota Kutsuna,Kazuhiko Nakata,Akitoshi Katsumata,Hiroshi Fujita,Eiichiro Ariji +9 more
TL;DR: The CNN learning model has shown promise as a tool to detect VRFs on panoramic images and to function as a CAD tool.
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The use of granulocyte-colony stimulating factor induced mobilization for isolation of dental pulp stem cells with high regenerative potential.
Masashi Murakami,Hiroshi Horibe,Koichiro Iohara,Yuki Hayashi,Yohei Osako,Yoshifumi Takei,Kazuhiko Nakata,Noboru Motoyama,Kenichi Kurita,Misako Nakashima +9 more
TL;DR: A method for isolation of DPSCs subsets based on their migratory response to optimized concentration of 100 ng/ml of granulocyte-colony stimulating factor (G-CSF) is safe and efficacious, having utility for potential clinical applications to autologous cell transplantation.