Oral microbiome profiles of gingivitis and periodontitis by next-generation sequencing among a group of hospital patients in Korea: A cross-sectional study.

Autor: Lee YH; Department of Orofacial Pain and Oral Medicine, College of Dentistry, Kyung Hee University Dental Hospital, Kyung Hee University, Hoegi-dong, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: omod0209@gmail.com., Park HJ; Department of Pharmacology, College of Medicine, Kyung Hee University, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: hjpark17@khu.ac.kr., Jeong SJ; Kyung Hee University Medical Center, Medical Science Research Institute, Statistics Support Part, Hoegi-dong, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: rainofsujin@naver.com., Auh QS; Department of Orofacial Pain and Oral Medicine, College of Dentistry, Kyung Hee University Dental Hospital, Kyung Hee University, Hoegi-dong, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: dental21@khu.ac.kr., Jung J; Department of Oral and Maxillofacial Surgery, College of Dentistry, Kyung Hee University Dental Hospital, Kyung Hee University, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: ssa204@khu.ac.kr., Lee GJ; Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: gjlee@khu.ac.kr., Shin S; Department of Periodontology, College of Dentistry, Kyung Hee University Dental Hospital, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: shin.dmd@khu.ac.kr., Hong JY; Department of Periodontology, College of Dentistry, Kyung Hee University Dental Hospital, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea. Electronic address: periohjy@khu.ac.kr.

Publikováno v: Journal of oral biosciences [J Oral Biosci] 2024 Nov 22, pp. 100591. Date of Electronic Publication: 2024 Nov 22.

Automatic detection and visualization of temporomandibular joint effusion with deep neural network.

Autor: Lee YH; Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, Kyung Hee University School of Dentistry, #613 Hoegi-Dong, Dongdaemun-gu, Seoul, 02447, Korea. omod0209@gmail.com., Jeon S; Department of Computer Science, Hanyang University, Seoul, 04763, Korea., Won JH; Department of Computer Science, Hanyang University, Seoul, 04763, Korea., Auh QS; Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, Kyung Hee University School of Dentistry, #613 Hoegi-Dong, Dongdaemun-gu, Seoul, 02447, Korea., Noh YK; Department of Computer Science, Hanyang University, Seoul, 04763, Korea. nohyung@hanyang.ac.kr.; School of Computational Sciences, Korea Institute for Advanced Study (KIAS), Seoul, 02455, Korea. nohyung@hanyang.ac.kr.

Publikováno v: Scientific reports [Sci Rep] 2024 Aug 14; Vol. 14 (1), pp. 18865. Date of Electronic Publication: 2024 Aug 14.

Age and sex differences in comorbidities in adult temporomandibular disorders: A cross-sectional study using Korea National Health and Nutrition Examination Survey (KNHANES).

Autor: Park HJ; Department of Oral Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Korea., Auh QS; Department of Oral Medicine, Kyung Hee University College of Dentistry, Kyung Hee University Medical Center, Seoul, Korea.

Publikováno v: PloS one [PLoS One] 2024 Jan 02; Vol. 19 (1), pp. e0296378. Date of Electronic Publication: 2024 Jan 02 (Print Publication: 2024).

Clinical factors affecting depression in patients with painful temporomandibular disorders during the COVID-19 pandemic.

Autor: Lee YH; Department of Orofacial Pain and Oral Medicine Kyung Hee University Dental Hospital, Kyung Hee University, #613 Hoegi-dong, Dongdaemun-gu, Seoul, 02447, South Korea. omod0209@gmail.com., Auh QS; Department of Orofacial Pain and Oral Medicine Kyung Hee University Dental Hospital, Kyung Hee University, #613 Hoegi-dong, Dongdaemun-gu, Seoul, 02447, South Korea.

Publikováno v: Scientific reports [Sci Rep] 2022 Aug 29; Vol. 12 (1), pp. 14667. Date of Electronic Publication: 2022 Aug 29.

Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.

Autor: Lee YH; Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, #613 Hoegi-dong, Dongdaemun-gu, Seoul, 02447, South Korea. omod0209@gmail.com., Won JH; Department of Computer Science, Hanyang University, Seoul, Korea., Kim S; Robotics Laboratory, Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea., Auh QS; Department of Orofacial Pain and Oral Medicine, Kyung Hee University Dental Hospital, #613 Hoegi-dong, Dongdaemun-gu, Seoul, 02447, South Korea., Noh YK; Department of Computer Science, Hanyang University, Seoul, Korea. nohyung@hanyang.ac.kr.; School of Computational Sciences, Korea Institute for Advanced Study (KIAS), Seoul, 02455, Korea. nohyung@hanyang.ac.kr.

Publikováno v: Scientific reports [Sci Rep] 2022 Jul 05; Vol. 12 (1), pp. 11352. Date of Electronic Publication: 2022 Jul 05.