Q-Schick相关文献与解析，生知库 | 链接生命科学的每一步

Lee, Yeon-Hee; Kim, Hee-Sung; Jeon, Seonggwang; Auh, Q-Schick; Hong, Il Ki; Choi, Sunju; Guastaldi, Fernando; Im, Hyungsoon; Noh, Yung-Kyun; Chaurasia, Akhilanand

关节炎

发表日期：2025

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Distinguishing acute and chronic TMD in adolescent patients

区分青少年患者的急性颞下颌关节紊乱症和慢性颞下颌关节紊乱症

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-21302-0

Lee, Yeon-Hee; Auh, Q-Schick; Jeon, Seonggwang; Jang, Seong-Woo; Kim, Tae-Seok

发表日期：2025

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Clinical features and subgroup patterns in elderly and super-elderly TMD patients

老年和超老年颞下颌关节紊乱患者的临床特征和亚组模式

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-29749-x

Lee, Yeon-Hee; Jeon, Seonggwang; Kim, Tae-Seok; Kim, Hee-Sung; Auh, Q-Schick; Noh, Yung-Kyun

发表日期：2025

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Clinical, psychological, and hematological factors predicting sleep bruxism in patients with temporomandibular disorders

颞下颌关节紊乱患者睡眠磨牙症的临床、心理和血液学预测因素

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-03339-3

Lee, Yeon-Hee; Chon, Suk; Auh, Q-Schick; Verhoeff, Merel Charlotte; Lobbezoo, Frank

发表日期：2025

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DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongue

用于自动检测舌炎和舌鳞状细胞癌的具有事后可解释性的深度卷积神经网络模型

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-025-16760-5

Lee, Yeon-Hee; Jeon, Seonggwang; Jung, Junho; Auh, Q Schick; Lee, Jae Seo; Chaurasia, Akhilanand; Noh, Yung Kyun

Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networks

利用机器学习和深度神经网络，通过临床和MRI标志物区分急性与慢性颞下颌关节紊乱

期刊:

影响因子:

doi:10.1038/s43856-025-01081-5

Lee, Yeon-Hee; Jeon, Seonggwang; Kim, Do-Hoon; Auh, Q-Schick; Lee, Jeong-Hoon; Noh, Yung-Kyun

发表日期：2025

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Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learning

基于多数据和机器学习的颞下颌关节紊乱患者阻塞性睡眠呼吸暂停自动预测

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-70432-4

Lee, Yeon-Hee; Jeon, Seonggwang; Auh, Q-Schick; Chung, Eun-Jae

发表日期：2024

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

成人颞下颌关节紊乱合并症的年龄和性别差异：一项基于韩国国民健康与营养调查（KNHANES）的横断面研究

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0296378

Park, Hye-Ji; Auh, Q-Schick

发表日期：2024

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Volatile sulfide compounds and oral microorganisms on the inner surface of masks in individuals with halitosis during COVID-19 pandemic

COVID-19 大流行期间，口臭患者口罩内表面存在挥发性硫化物和口腔微生物

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-023-29080-3

Lee, Yeon-Hee; Kim, Hyeongrok; Heo, Dae Wook; Ahn, In-Suk; Auh, Q-Schick

微生物学

发表日期：2023

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Poorer sleep quality in patients with chronic temporomandibular disorders compared to healthy controls

与健康对照组相比，慢性颞下颌关节紊乱患者的睡眠质量较差。

期刊:BMC Musculoskeletal Disorders

影响因子:2.4

doi:10.1186/s12891-022-05195-y

Lee, Yeon-Hee; Auh, Q-Schick; An, Jung-Sub; Kim, Tae

发表日期：2022

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Deep learning-based diagnosis of temporomandibular joint osteoarthritis using whole-body bone scans

基于深度学习的全身骨扫描颞下颌关节骨关节炎诊断

Distinguishing acute and chronic TMD in adolescent patients

区分青少年患者的急性颞下颌关节紊乱症和慢性颞下颌关节紊乱症

Clinical features and subgroup patterns in elderly and super-elderly TMD patients

老年和超老年颞下颌关节紊乱患者的临床特征和亚组模式

Clinical, psychological, and hematological factors predicting sleep bruxism in patients with temporomandibular disorders

颞下颌关节紊乱患者睡眠磨牙症的临床、心理和血液学预测因素

DCNN models with post-hoc interpretability for the automated detection of glossitis and OSCC on the tongue

用于自动检测舌炎和舌鳞状细胞癌的具有事后可解释性的深度卷积神经网络模型

Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networks

利用机器学习和深度神经网络，通过临床和MRI标志物区分急性与慢性颞下颌关节紊乱

Automatic prediction of obstructive sleep apnea in patients with temporomandibular disorder based on multidata and machine learning

基于多数据和机器学习的颞下颌关节紊乱患者阻塞性睡眠呼吸暂停自动预测

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

成人颞下颌关节紊乱合并症的年龄和性别差异：一项基于韩国国民健康与营养调查（KNHANES）的横断面研究

Volatile sulfide compounds and oral microorganisms on the inner surface of masks in individuals with halitosis during COVID-19 pandemic

COVID-19 大流行期间，口臭患者口罩内表面存在挥发性硫化物和口腔微生物

Poorer sleep quality in patients with chronic temporomandibular disorders compared to healthy controls

与健康对照组相比，慢性颞下颌关节紊乱患者的睡眠质量较差。