Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses.
Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analysis for decision‐making in clinical dentistry and identify trends and research gaps in the current literature.
Oral health has witnessed a significant transformation with the integration of biomarkers in early-diagnostic processes. This article briefly reviews the types of biomarkers used in the screening and early detection of oral diseases, particularly oral cancer, periodontal diseases, and dental caries, with an emphasis on molecular biomarkers.
This article discusses a common approach to the early detection of oral cancer, which focuses on identifying and monitoring certain mouth conditions, known as oral potentially malignant disorders (OPMDs).
The term “rampant caries” was first coined in the early1920s to describe the severe tooth decay that was com-mon in children from poor families. 1 In the 1940s and1950s, there was a significant increase in the prevalence ofearly childhood caries (ECC, often presenting with “ram-pant” pattern) in the United States, and later this trendexpanded worldwide.
In many dental settings, diagnosis and treatment planning is the responsibility of a single clinician, and this process is inevitably influenced by the clinician’s own heuristics and biases.
There is extensive literature emerging in the field of dentistry with the aim to optimize clinical practice. Evidence-based guidelines (EBGs) are designed to collate diagnostic criteria and clinical treatment for a range of conditions based on high-quality evidence
Clinical decision-making for diagnosing and treating oral and dental diseases consolidates multiple sources of complex information, yet individual clinical judgements are often made intuitively on limited heuristics to simplify decision making, which may lead to errors harmful to patients.
CoTreat: Leading a team of dreamers to make dentistry more accurate and efficient. Dental on Flinders: General dentist with 15 years of clinical experience. Specific interests in diagnostics, prevention and clinical decision making.