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Daniel Lawrence

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Research Publications

December 25, 2024
December 25, 2024

Observational Diagnostics: The Building Block of AI-Powered Visual Aid for Dental Practitionersonal-diagnostic

Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses.

November 26, 2024
November 26, 2024

Mapping the Use of Artificial Intelligence–Based Image Analysis for Clinical Decision‐Making in Dentistry: A Scoping Review

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.

April 10, 2024
April 10, 2024

Rampant caries: What it is and what it isn’t

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.

March 1, 2024
March 1, 2024

Accuracy of Treatment Recommendations by Pragmatic Evidence Search and Artificial Intelligence: An Exploratory Study

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

Daniel Lawrence

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.

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