Exploring the potential of machine learning models to predict nasal measurements through facial landmarks.

Statement Of Problem: Information on predicting the measurements of the nose from selected facial landmarks to assist in maxillofacial prosthodontics is lacking.

Purpose: The objective of this study was to identify the efficiency of machine learning models in predicting the length and width of the nose from selected facial landmarks.

Material And Methods: Two-dimensional frontal and lateral photographs were made of 100 men and 100 women.

Impact of WhatsApp on improving denture care knowledge and the awareness of the relationship between edentulism and general health.

Statement Of Problem: Denture wearers are susceptible to diseases related to denture hygiene and are more prone to develop systemic disease because of poor understanding and awareness of the impact of edentulism on general health.

Purpose: The purpose of this clinical study was to evaluate the effectiveness of traditional chairside practice and WhatsApp in improving patient knowledge of denture care and their awareness of the impact of edentulism on general health.

Material And Methods: Sixty-two participants who attended the Polyclinic Kulliyyah of Dentistry, IIUM Kuantan in 2022 for removable prosthesis fabrication were recruited.

Validity and reliability of a proposed anterior implant esthetic index (AIEI).

Statement Of Problem: Patient satisfaction and esthetic acceptance are important factors in predicting the success of implant therapy in the anterior maxilla. A standardized esthetic index to evaluate implant esthetic outcomes is still lacking.

Purpose: The purposes of this study were to describe the newly developed images that correlate to the pink esthetic score and white esthetic score (PES/WES) for improved standardized documentation and to evaluate the validity and reliability of the proposed anterior implant esthetic index (AIEI) with patient satisfaction scores.

Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: A preliminary study.

Purpose/objectives: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results using artificial intelligence machine learning (ML) models, and Pearson correlation coefficient (PCC).

Methods: ML algorithms logistic regression (LR), decision tree (DT), random forest (RF), and support vector machine (SVM) models were applied.

Development and integration of a clinical dashboard within a dental school setting.

Purpose: To describe the development and integration of an electronic health record-driven, student dashboard that displays real-time data relative to the students' patient management and clinic experiences at the University of Illinois Chicago, College of Dentistry.

Materials And Methods: Following development and implementation of the student dashboard, various objective metrics were evaluated to identify any improvements in the clinical patient management. A cross-sectional retrospective chart review was completed of the electronic health record (axiUm, Exan, Coquitlam, BC, Canada) from January 2019 to April 2022 evaluating four performance metrics: student lockouts, note/code violations, overdue active patients, and overdue recall patients.

Effect of various surface treatment methods on shear bond strength between acrylic denture teeth and thermoplastic nylon denture base.

Purpose: To evaluate the effect of mechanical, chemical, and mechanical-chemical surface treatment methods on shear bond strength between acrylic denture teeth and thermoplastic nylon denture base.

Materials And Methods: Maxillary central incisor teeth were treated with five different surface treatment methods: mechanical (sandblasting, T-shape diatoric holes), chemical (5% acetic acid solution, bonding agent), and mechanical-chemical (sandblasting + bonding agent) were embedded in thermoplastic nylon denture base (n = 10). A universal testing machine with a crosshead speed of 0.

The level of evidence in prosthodontics in relation to author's characteristics: An analysis of three leading prosthodontics journals.

Purpose: The purpose of this study was to examine the level of evidence (LOE) characteristics and associated factors that change over time in three leading prosthodontics journals.

Materials And Methods: Articles published in The Journal of Prosthetic Dentistry (JPD), International Journal of Prosthodontics (IJP), and Journal of Prosthodontics (JP) in 2013 and 2020 were reviewed by eight independent reviewers. After applying exclusion and inclusion criteria, the number of authors, the corresponding author's educational degree, corresponding author's origin in each clinical research article were recorded.

Synthesis and Structural Characterization of Four Different Concentrations of Ant Nest () Collagen Membranes with Potential for Medical Applications.

Purpose: The purpose of this study was to synthesize and structurally characterize four ant nest membranes in four different concentrations and determine the best concentration that could potentially be used as an alternative material for the production of new collagen barrier membranes.

Materials And Methods: Membranes were created by mixing ant nest extracts at various concentrations of 0.5%, 1%, 1.

Clinical Experience Comparison of Foreign-Trained Dentists and Domestic Dental Students: One Institution's Experience.

This study compared the clinical experiences of foreign-trained dentists (FTDs) enrolled in an Advance Standing DMD Dental Program (DMDAS) with those of the domestic dental students (DMD) at the University of Illinois Chicago, College of Dentistry (UIC-COD). A cross-sectional retrospective chart review of patients treated by 295 DMD and 253 DMDAS predoctoral dental students was completed at the UIC-COD. The data were retrieved from the electronic health record system (axiUm) for the graduated classes of 2018, 2019, 2020, 2021, and 2022 on various performed clinical procedures as measured by relative value units (RVUs).

Automated facial landmark measurement using machine learning: A feasibility study.

Statement Of Problem: Information regarding facial landmark measurement using machine learning (ML) techniques in prosthodontics is lacking.

Purpose: The objective of this study was to evaluate and compare the reliability, validity, and accuracy of facial anthropological measurements using both manual and ML landmark detection techniques.

Material And Methods: Two-dimensional (2D) frontal full-face photographs of 50 men and 50 women were made.

Artificial Intelligence (AI)-driven dental education: Exploring the role of chatbots in a clinical learning environment.

Statement Of Problem: Despite their widespread use in various educational contexts, the integration of chatbots into dental clinical education has not been thoroughly investigated. The noted discrepancy signifies a lack of understanding of how chatbots could enhance the personalized and interactive learning experiences of predoctoral dental students.

Purpose: The purpose of this study was to evaluate the awareness and perceptions of artificial intelligence (AI) technology, interaction experiences, and concerns about a custom-developed chatbot (CB) intervention in the clinical education of predoctoral dental students at the University of Illinois Chicago, College of Dentistry (UIC-COD) compared with the traditional Blackboard (BB) online platform.

Ozone therapy improves early stages of osseointegration in ovariectomized rats.

Objective: the aim of this study was to analyze the influence of ozone therapy (OZN) on peri-implant bone repair in critical bones by installing osseointegrated implants in the tibia of ovariectomized rats.

Methodology: ovariectomy was performed on 30 Wistar rats, aged six months (Rattus novergicus), and, after 90 days, osseointegrated implants were installed in each tibial metaphysis. The study groups were divided into the animals that received intraperitoneal ozone at a concentration of 700 mcg/kg - OZ Group (n=15) - and a control group that received an intraperitoneal saline solution and, for this reason, was named the SAL group (n=15).

Assessing methodological quality in dental education research using MERSQI: Analysis of publications from two journals.

Purpose: The Medical Education Research Study Quality Instrument (MERSQI) has been used frequently to assess the methodological quality of medical education but not for dental education. The present study aimed to assess the methodological quality using MERSQI scores of articles published in the Journal of Dental Education (JDE) and the European Journal of Dental Education (EJDE).

Methods: A cross-sectional assessment of the quality of manuscripts published in 2012, 2017, and 2022 JDE and EJDE was conducted.

The effect of three dental cement types on the corrosion of dental implant surfaces.

Statement Of Problem: One of the main challenges facing dental implant success is peri-implantitis. Recent evidence indicates that titanium (Ti) corrosion products and undetected-residual cement are potential risk factors for peri-implantitis. The literature on the impact of various types of dental cement on Ti corrosion is very limited.

Predictability of single versus double-barrel vascularized fibula flaps and dental implants in mandibular reconstructions: A systematic review and meta-analysis of prospective studies.

Statement Of Problem: Patients with vascularized bone flaps from the fibula have reduced bone height, in which case a higher prosthetic abutment is needed for their implant-supported prosthesis. Although the double-flap technique seems promising, systematic reviews and meta-analyses of prospective studies are lacking.

Purpose: The purpose of this systematic review and meta-analysis was to evaluate the grafted areas of single barrel fibular flaps (SBFF) and double-barrel fibular flaps (DBFF) by considering failure rates, dental implant complications, and bone union at the osteotomy sites.

Machine learning model to predict the width of maxillary central incisor from anthropological measurements.

Purpose: To improve smile esthetics, clinicians should comprehensively analyze the face and ensure that the sizes selected for the maxillary anterior teeth are compatible with the available anthropological measurements. The inter commissural (ICW), interalar (IAW), intermedial-canthus (MCW), interlateral-canthus (LCW), and interpupillary (IPW) widths are used to determine the width of maxillary central incisors (CW). The aim of this study was to develop an automated approach using machine learning (ML) algorithms to predict central incisor width in a young Turkish population using anthropological measurements.

Early Predicting Tribocorrosion Rate of Dental Implant Titanium Materials Using Random Forest Machine Learning Models.

Early detection and prediction of bio-tribocorrosion can avert unexpected damage that may lead to secondary revision surgery and associated risks of implantable devices. Therefore, this study sought to develop a state-of-the-art prediction technique leveraging machine learning(ML) models to classify and predict the possibility of mechanical degradation in dental implant materials. Key features considered in the study involving pure titanium and titanium-zirconium (zirconium = 5, 10, and 15 in wt%) alloys include corrosion potential, acoustic emission(AE) absolute energy, hardness, and weight-loss estimates.

Evaluating augmented reality e-typodont to improve a patient's dental implant health literacy.

Statement Of Problem: Information regarding dental implants can be difficult to understand for participants. Improving patients' dental implant health literacy remains a challenging process.

Purpose: The purpose of this clinical study was to develop and evaluate patients' understanding of the implant treatment procedure, components, and sequences using traditional typodont and augmented reality (AR) applications (e-typodont), with the goal of improving their oral health literacy.

Unpredictable Electrochemical Processes in Ti Dental Implants: The Role of Ti Ions and Inflammatory Products.

Peri-implantitis is a substantially prevailing condition. A potential risk factor for peri-implantitis is Ti implant corrosion. During inflammation, substantial quantities of reactive oxygen species (ROS) secretion and local acidification occur.

Collagen membrane functionalized with magnesium oxide via room-temperature atomic layer deposition promotes osteopromotive and antimicrobial properties.

Artificial bone grafting materials such as collagen are gaining interest due to the ease of production and implantation. However, collagen must be supplemented with additional coating materials for improved osteointegration. Here, we report room-temperature atomic layer deposition (ALD) of MgO, a novel method to coat collagen membranes with MgO.

Feasible low bone density condition for assessing bioactivity in ex-in vivo and in vivo studies.

Objective: To choose a critical animal model for assessments of bone repair with implant installation by comparing senile rats (SENIL) to young ovariectomized rats (OXV).

Methodology: For the ex-in vivo study, the femurs were precursors for bone marrow mesenchymal stem cells. Cellular responses were performed, including cell viability, gene expression of osteoblastic markers, bone sialoprotein immunolocalization, alkaline phosphatase activity, and mineralized matrix formation.

Analysis of clinical parameter and tumor necrosis factor-alpha levels on keratinized tissue around implant and tooth.

Background: Studies have shown the importance of keratinized tissue around implants to prevent peri-implant diseases. This study aims to analyze the correlation of keratinized tissue around implants and teeth with clinical parameter scores and tumor necrosis factor-alpha (TNF-α) levels.

Materials And Methods: A cross-sectional study of 20 adults with 20 dental implants and 20 contralateral teeth that have functioned suprastructurally for more than 3 months without any systemic diseases.

Collagen Membranes Functionalized with 150 Cycles of Atomic Layer Deposited Titania Improve Osteopromotive Property in Critical-Size Defects Created on Rat Calvaria.

The membranes used in bone reconstructions have been the object of investigation in the field of tissue engineering, seeking to improve their mechanical strength and add other properties, mainly the osteopromotive. This study aimed to evaluate the functionalization of collagen membranes, with atomic layer deposition of TiO on the bone repair of critical defects in rat calvaria and subcutaneous biocompatibility. A total of 39 male rats were randomized into four groups: blood clot (BC), collagen membrane (COL), COL 150-150 cycles of titania, and COL 600-600 cycles of titania.