CoTreat AI Research

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8
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.

Nicola Cirillo
Vijayalakshmi Murthy
Ravikumar Rajappa
Ruchika Raj
Daniel Lawrence
7
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.

Nicola Cirillo
Daniel Lawrence
Max Ganhewa
6
July 1, 2024

A Roadmap for the Rational Use of Biomarkers in Oral Disease Screening

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.

Nicola Cirillo
5
April 18, 2024

Precursor Lesions, Overdiagnosis, and Oral Cancer: A Critical Review

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).

Nicola Cirillo
4
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.

Nicola Cirillo
Vijayalakshmi Murthy
Ravikumar Rajappa
Ruchika Raj
Daniel Lawrence
3
March 1, 2024

Harnessing the power of collective intelligence in dentistry: a pilot study in Victoria, Australia

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.

Nicola Cirillo
Max Ganhewa
2
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

Nicola Cirillo
Daniel Lawrence
Max Ganhewa
1
March 13, 2023

Determinants of Clinical Decision Making under Uncertainty in Dentistry: A Scoping Review

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.

Nicola Cirillo
Max Ganhewa

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