CoTreat Research

• Observational Diagnostics: AI-Powered Visual Aid for Dental Practitioners — Explores observational diagnostics as the foundation for AI-powered visual aids in dentistry.
• Face Validation of an Artificial Intelligence Driven Tool for Clinical Triaging — The first study in Australia investigating the accuracy of AI for dental patient triaging
• Collective Intelligence in Dentistry: A Pilot Study — Explores collective intelligence as an alternative to single-clinician decision making.
• Biomarkers in Oral Disease Screening — Reviews biomarkers used in screening and early detection of oral diseases.
• Mapping AI-Based Image Analysis for Clinical Decision-Making in Dentistry — Investigates AI in image analysis for dental clinical decision-making.
• Precursor Lesions, Overdiagnosis, and Oral Cancer — Critically discusses the concept of overdiagnosis of oral diseases and the limitations of current paradigms.
• Accuracy of Treatment Recommendations by AI — Compares AI and pragmatic evidence search against evidence-based guidelines.
• A scoping review of crowdsourcing and collective intelligence in oral healthcare — Explores the use of collective intelligence and shared decision making in oral health.
• Rampant Caries: What It Is and What It Isn't — Clarifies the definition and clinical presentation of rampant caries.
• Determinants of Clinical Decision Making under Uncertainty in Dentistry: A Scoping Review — Examines how clinicians make decisions on limited heuristics.