Cholelithiasis in Infants: Risk Factors, Management, and the Role of Ursodeoxycholic Acid.

Background: Cholelithiasis is a rare disease in infants, and there is limited data on its risk factors and management.

Objectives: To evaluate the risk factors, management, and response to medical treatment of cholelithiasis in infants.

Methods: Infants diagnosed with cholelithiasis by ultrasound between 2018 and 2023 were retrospectively analyzed.

Pandemic of the century: COVID-19 in inflammatory rheumatic diseases of a national cohort with 3,532 patients.

Objectives: This study aimed to assess the clinical outcomes and risk factors for severe coronavirus disease 2019 (COVID-19) in patients with inflammatory rheumatic disease (IRD) of a national cohort.

Patients And Methods: The multicenter cross-sectional study was carried out between July 15, 2020, and February 28, 2021. Data collection was provided from a national network database system, and 3,532 IRD patients (2,359 males, 1,173 females; mean age: 48.

Development and Validation of an Ultrasonography-Based Machine Learning Model for Predicting Outcomes of Bruxism Treatments.

Background And Objectives: We aimed to develop a predictive model for the outcome of bruxism treatments using ultrasonography (USG)-based machine learning (ML) techniques. This study is a quantitative research study (predictive modeling study) in which different treatment methods applied to bruxism patients are evaluated through artificial intelligence.

Materials And Methods: The study population comprised 102 participants with bruxism in three treatment groups: Manual therapy, Manual therapy and Kinesio Tape or Botulinum Toxin-A injection.

Biomimetic dental implant production using selective laser powder bed fusion melting: In-vitro results.

Instead of a textured surface with irregular pore size and distribution as in conventional dental implants, the use of lattice structures with regular geometric structure and controlled pore size produced by selective laser powder bed fusion melting (LPDF) technique will provide more predictable and successful results regarding osseointegration and mechanics. In this study, biomimetic dental implants with 2 different pore designs were fabricated by LPDF technique and compared with conventional dental implants in terms of surface characterization and resistance to biomechanical forces. Finite element analysis, scanning electron microscopy, computed micro tomography scanning, ISO 14801 tests and detork tests were used for the comparison.

Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging.

This study aims to investigate the effect of using an artificial intelligence (AI) system (Diagnocat, Inc., San Francisco, CA, USA) for caries detection by comparing cone-beam computed tomography (CBCT) evaluation results with and without the software. 500 CBCT volumes are scored by three dentomaxillofacial radiologists for the presence of caries separately on a five-point confidence scale without and with the aid of the AI system.