Owais A Farooqi
Owais A Farooqi
The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bias. While these systems demonst...
Public Oral Healthcare Utilisation and Its Associated Factors in Malaysian Adults: A Time-Series Analysis (1992-2019) [0.03%]
马来西亚成年人口腔卫生服务利用及其相关因素的时间序列分析（1996-2019年）
Yeung R&#x;ong Tan,Lokman Najihah,Jamaludin Marhazlinda
Yeung R&#x;ong Tan
Introduction and aims: Understanding the trend and associated factors are essential for enhancing equitable access to care, particularly given persistent disparities in healthcare utilisation across different population g...
Comparative Evaluation of Robotic and Manual Bending of Clasps for Removable Partial Dentures [0.03%]
可摘局部义齿夹板的机器人弯曲与手动弯曲比较评价研究
Yun Dai,Yanyan Mao,Jiali Meng et al.
Yun Dai et al.
Introduction and aims: Conventional removable partial denture (RPD) clasp fabrication with wrought wire depends on operator skill, limiting efficiency and reproducibility. This study compared robotically and manually bent...
Real-Time Assessment of Dentinal Fluid Flow Reduction by Desensitising Agents Using Subnanolitre Flow Measuring System [0.03%]
利用亚纳升级流量检测系统实时评估脱敏剂对牙本质小管液流动的抑制效果
Soyeon Kim,Satoshi Yamaguchi,In-Bog Lee et al.
Soyeon Kim et al.
Objective: This study aimed to evaluate and compare the dentinal tubule-occluding efficacy of various desensitising toothpastes and a sodium fluoride varnish using a subnanolitre scaled fluid flow measuring device (NFMD)....
The Role of Electrolytes in Muscle Pain Syndromes: A Systematic Review and Meta-Analysis With Implications for Temporomandibular Disorder [0.03%]
电解质在肌痛综合症中的作用：系统回顾和荟萃分析及其对颞下颌紊乱的启示
Shankargouda Patil,Andrea Falkowski,Venkata Suresh Venkataiah et al.
Shankargouda Patil et al.
Background: Temporomandibular disorders (TMDs) are a major cause of chronic orofacial pain, with myalgia of the masticatory muscles being central to symptom burden. Electrolyte modulation, particularly magnesium, may infl...
Digital Assessment of Gingival Display During Different Facial Expressions Using AutoCAD Software: An Exploratory Clinical Study [0.03%]
利用AutoCAD软件评估不同面部表情下的牙龈显露量：一项初步临床研究
Rija Anees,Muhammad Aamir Ghafoor Chaudhary,Syeda Kainat Fatima
Rija Anees
Objective: To explore and compare the extent of maximal gingival display among four different facial expressions, including the requested smile, Duchenne smile, grimace of disgust, and funnel-shaped expression, using Auto...
Corporate Dentistry in the European Union: Legal Frameworks and Structural Characteristics [0.03%]
欧盟的公司牙科：法律框架与结构特征
Thomas Gerhard Wolf,Svea Berchtold,Nikoleta Arnaudova et al.
Thomas Gerhard Wolf et al.
Introduction and aims: The aim of this study was to collect and analyze country-specific information on corporate dental chains in the European Union, with a particular focus on their prevalence, organizational structures...
Identification of an Anoikis-Related Gene Signature to Predict the Prognosis in Patients With Oral Squamous Cell Carcinoma [0.03%]
识别与 anoikis 相关的基因特征以预测口腔鳞状细胞癌患者的预后
Xiaoqian Li
Xiaoqian Li
Background: Anoikis plays an important role in cancer metastasis. Nevertheless, research that focuses on the prognostic values of anoikis-related genes (ARGs) in oral squamous cell carcinoma (OSCC) is still scarce. ...
Biological Performance of Modified Glass Ionomer Cement: Antibacterial Activity, Cytocompatibility, and Rabbit Pulpal Response [0.03%]
改性玻璃离子水泥的生物性能: 抗菌活性、细胞相容性和兔牙髓反应
Krittee Dejyong,Saowakon Indoung,Peerapon Sornying et al.
Krittee Dejyong et al.
Background: Conventional glass ionomer cement (GIC) is widely used as a restorative base and liner owing to its chemical adhesion to dentine, fluoride release, and favourable biocompatibility. Nevertheless, its intrinsic ...
Automated Segmentation of Augmented Bone After Transalveolar Sinus Floor Elevation Using Deep Learning [0.03%]
基于深度学习的经上颌窦底升高的骨增量术后影像自动分割方法研究
Kexin Yang,Wenjun Duan,Wangtao Lu et al.
Kexin Yang et al.
This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients undergoing TSFE, acquir...