AIMC Topic: Dental Caries

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Improving accuracy of early dental carious lesions detection using deep learning-based automated method.

Clinical oral investigations
OBJECTIVE: To investigate the effectiveness of a convolutional neural network (CNN) in detecting healthy teeth and early carious lesions on occlusal surfaces and to assess the applicability of this deep learning algorithm as an auxiliary aid.

Prediction of pulp exposure before caries excavation using artificial intelligence: Deep learning-based image data versus standard dental radiographs.

Journal of dentistry
OBJECTIVES: The objective was to examine the effect of giving Artificial Intelligence (AI)-based radiographic information versus standard radiographic and clinical information to dental students on their pulp exposure prediction ability.

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVE: The applications of artificial intelligence (AI) are increasing in restorative dentistry; however, the AI performance is unclear for dental professionals. The purpose of this narrative review was to evaluate the applications, functions, an...

Detecting dental caries on oral photographs using artificial intelligence: A systematic review.

Oral diseases
OBJECTIVES: This systematic review aimed at evaluating the performance of artificial intelligence (AI) models in detecting dental caries on oral photographs.

Chapter 8: Risk Assessment: Considerations for Coronal Caries.

Monographs in oral science
Caries risk assessment (CRA) is essential to delivering personalized/precision care in caries management. Limited formal evaluation and validation of existing CRA tools affects the ability to accurately predict new lesions. However, this should not p...

Chapter 7: Technological Aids and Coronal Caries.

Monographs in oral science
In recent decades, dentistry has developed significantly in all areas. While in the past, caries was mainly treated operatively, the today's management has shifted toward noninvasive, minimal invasive, and, only if needed, invasive treatment options....

Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model.

International journal of environmental research and public health
BACKGROUND: Access to oral healthcare is not uniform globally, particularly in rural areas with limited resources, which limits the potential of automated diagnostics and advanced tele-dentistry applications. The use of digital caries detection and p...

Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method.

Caries research
This study aimed to evaluate the validity of a deep learning-based convolutional neural network (CNN) for detecting proximal caries lesions on bitewing radiographs. A total of 978 bitewing radiographs, 10,899 proximal surfaces, were evaluated by two ...

MMDCP: Multi-Modal Dental Caries Prediction for Decision Support System Using Deep Learning.

International journal of environmental research and public health
In recent years, healthcare has gained unprecedented attention from researchers in the field of Human health science and technology. Oral health, a subdomain of healthcare described as being very complex, is threatened by diseases like dental caries,...