- Hopes of becoming the bridge for North Korean scientists to the world
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Kim TI
- KMID: 2410685
- J Periodontal Implant Sci.
- 2018 Apr;48(2):69-69.
- doi: 10.5051/jpis.2018.48.2.69
No abstract available. -
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- Comparison of marginal bone loss between internal- and external-connection dental implants in posterior areas without periodontal or peri-implant disease
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Kim DH, Kim HJ, Kim S, Koo KT, Kim TI, Seol YJ, Lee YM, Ku Y, Rhyu IC
- KMID: 2410689
- J Periodontal Implant Sci.
- 2018 Apr;48(2):103-113.
- doi: 10.5051/jpis.2018.48.2.103
PURPOSE: The purpose of this retrospective study with 4–12 years of follow-up was to compare the marginal bone loss (MBL) between external-connection (EC) and internal-connection (IC) dental implants in posterior... -
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- Quantitative measurement of peri-implant bone defects using optical coherence tomography
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Kim S, Kang SR, Park HJ, Kim B, Kim TI, Yi WJ
- KMID: 2410687
- J Periodontal Implant Sci.
- 2018 Apr;48(2):84-91.
- doi: 10.5051/jpis.2018.48.2.84
PURPOSE: The purpose of this study was to visualize and identify peri-implant bone defects in optical coherence tomography (OCT) images and to obtain quantitative measurements of the defect depth. METHODS: Dehiscence... -
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- Magnoliae Cortex and maize modulate Porphyromonas gingivalis-induced inflammatory reactions
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Kim JY, Kim KH, Kwag EH, Seol YJ, Lee YM, Ku Y, Rhyu IC
- KMID: 2410686
- J Periodontal Implant Sci.
- 2018 Apr;48(2):70-83.
- doi: 10.5051/jpis.2018.48.2.70
PURPOSE: The aim of this study was to evaluate the capacity of single and combined applications of the bark of the stems and roots of Magnolia officinalis Rehd. et Wils.... -
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- Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
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Lee JH, Kim DH, Jeong SN, Choi SH
- KMID: 2410690
- J Periodontal Implant Sci.
- 2018 Apr;48(2):114-123.
- doi: 10.5051/jpis.2018.48.2.114
PURPOSE: The aim of the current study was to develop a computer-assisted detection system based on a deep convolutional neural network (CNN) algorithm and to evaluate the potential usefulness and... -
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- Charlson comorbidity index as a predictor of periodontal disease in elderly participants
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Lee JH, Choi JK, Jeong SN, Choi SH
- KMID: 2410688
- J Periodontal Implant Sci.
- 2018 Apr;48(2):92-102.
- doi: 10.5051/jpis.2018.48.2.92
PURPOSE: This study investigated the validity of the Charlson comorbidity index (CCI) as a predictor of periodontal disease (PD) over a 12-year period. METHODS: Nationwide representative samples of 149,785 adults aged... -
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- Methods for quantitative measurement of tooth wear using the area and volume of virtual model cusps
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Kim SH, Park YS, Kim MK, Kim S, Lee SP
- KMID: 2410691
- J Periodontal Implant Sci.
- 2018 Apr;48(2):124-134.
- doi: 10.5051/jpis.2018.48.2.124
PURPOSE: Clinicians must examine tooth wear to make a proper diagnosis. However, qualitative methods of measuring tooth wear have many disadvantages. Therefore, this study aimed to develop and evaluate quantitative... -
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