Area of research
Periodontics · Oral Surgery
Research interest
Research interests include Dental Radiography and Imaging, Dental Health and Care Utilization, Artificial Intelligence in Healthcare and Education, and Oral microbiology and periodontitis research.
The Interplay Between Periodontitis, Caries and Dental Restorations in an Adult Population.
<scp>ACES</scp>: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data
ACES: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data.
Conquering class imbalances in deep learning-based segmentation of dental radiographs with different loss functions
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study.
Ethical considerations on artificial intelligence in dentistry: A framework and checklist
Deep learning: A primer for dentists and dental researchers
Machine Learning in Dentistry: A Scoping Review
Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey
Deep learning: A primer for dentists and dental researchers.
Machine Learning in Dentistry: A Scoping Review.
Identification of Dental Implant Systems Using a Large-Scale Multicenter Data Set.
Monolithic hybrid abutment crowns (screw‐retained) versus monolithic hybrid abutments with adhesively cemented monolithic crowns
Resin Infiltration of Non-Cavitated Proximal Caries Lesions in Primary and Permanent Teeth: A Systematic Review and Scenario Analysis of Randomized Controlled Trials.
Machine Learning to Predict Apical Lesions: A Cross-Sectional and Model Development Study.
Machine Learning to Predict Apical Lesions: A Cross-Sectional and Model Development Study
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Deep learning for caries detection: A systematic review.
Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy.
Data Dentistry: How Data Are Changing Clinical Care and Research.
Patients’ Perspectives on Artificial Intelligence in Dentistry: A Controlled Study
Federated Learning in Dentistry: Chances and Challenges.
Artificial Intelligence for Caries Detection: Value of Data and Information.
Precision dentistry-what it is, where it fails (yet), and how to get there.
Cost-effectiveness of AI for caries detection: randomized trial.
Towards Trustworthy AI in Dentistry.
Patients' Perspectives on Artificial Intelligence in Dentistry: A Controlled Study.
Benchmarking Deep Learning Models for Tooth Structure Segmentation.
Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning
A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.