A5093109946- Dental Radiography and Imaging
- Dental Research and COVID-19
- Medical Imaging and Analysis
- Digital Imaging in Medicine
- Dental Implant Techniques and Outcomes
- Reconstructive Facial Surgery Techniques
- Sinusitis and nasal conditions
- Endodontics and Root Canal Treatments
- Surgical Simulation and Training
- Artificial Intelligence in Healthcare and Education
- Radiation Dose and Imaging
Chulalongkorn University
2024-2025
KU Leuven
2023-2025
Universidade Estadual de Campinas (UNICAMP)
2023
To develop and validate a novel artificial intelligence (AI) tool for automated segmentation of mandibular incisive canal on cone beam computed tomography (CBCT) scans.
Abstract Introduction Facial scanning through smartphone applications (SSA) is increasingly being used for medical as cost‐effective, chairside method. However, clinical validation lacking. This review aims to address: (1) Which SSA could perform facial scanning? (2) can be clinically used? (3) have been reported and scientifically validated applications? Methods Technical search designed face or object was conducted on Google, Apple App Store, Google Play Store from August 2022 December...
Virtual simulation has advanced in dental healthcare, but the impact of different tomographic techniques on virtual patient (VP) creation remains unclear. This study primarily aimed to automatically create VP from facial scans (FS), intraoral (IOS), multislice (MSCT), and cone beam computed tomography (CBCT); Secondarily, quantitatively compare artificial intelligence (AI)-driven, AI-refined semi registered (SAR) MSCT CBCT effect soft tissue registration with CBCT. A dataset 20 FS, IOS,...
Objective: To compare the clinical applicability in terms of observer perception, patient and usability stereophotogrammetry (SPG) both static portable structured light (SL) three-dimensional (3D) face scanners. This comparison was based on perception medical observers, nonmedical patients themselves, using two-dimensional (2D) photographs as reference. Material Methods: Facial images 20 (12 females eight males) were obtained a professional camera (clinical reference) three facial scanners:...