Peer-reviewed research advancing the evidence base for dental AI.
Explores observational diagnostics as the foundation for AI-powered visual aids in dentistry.
The first study in Australia investigating the accuracy of AI for dental patient triaging
Explores collective intelligence as an alternative to single-clinician decision making.
Reviews biomarkers used in screening and early detection of oral diseases.
Investigates AI in image analysis for dental clinical decision-making.
Critically discusses the concept of overdiagnosis of oral diseases and the limitations of current paradigms.
Compares AI and pragmatic evidence search against evidence-based guidelines.
Explores the use of collective intelligence and shared decision making in oral health.
Clarifies the definition and clinical presentation of rampant caries.
Examines how clinicians make decisions on limited heuristics.