AIMC Topic: Mouth
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Applications of artificial intelligence in the field of oral and maxillofacial pathology: a systematic review and meta-analysis.
BMC oral health
Jan 23, 2024
BACKGROUND: Since AI algorithms can analyze patient data, medical records, and imaging results to suggest treatment plans and predict outcomes, they have the potential to support pathologists and clinicians in the diagnosis and treatment of oral and ...
Multi-modal deep learning for automated assembly of periapical radiographs.
Journal of dentistry
Jun 21, 2023
OBJECTIVES: Periapical radiographs are oftentimes taken in series to display all teeth present in the oral cavity. Our aim was to automatically assemble such a series of periapical radiographs into an anatomically correct status using a multi-modal d...
Enhancing the Sense of Attention from an Assistance Mobile Robot by Improving Eye-Gaze Contact from Its Iconic Face Displayed on a Flat Screen.
Sensors (Basel, Switzerland)
Jun 4, 2022
One direct way to express the sense of attention in a human interaction is through the gaze. This paper presents the enhancement of the sense of attention from the face of a human-sized mobile robot during an interaction. This mobile robot was design...
Motion Fatigue State Detection Based on Neural Networks.
Computational intelligence and neuroscience
Mar 15, 2022
Aiming at the problem of fatigue state detection at the back of sports, a cascade deep learning detection system structure is designed, and a convolutional neural network fatigue state detection model based on multiscale pooling is proposed. Firstly,...
Effectiveness of Pre-administered Natural Sweet-tasting Solution for Decreasing Pain Associated with Dental Injections in Children: A Split-mouth Randomized Controlled Trial.
The journal of contemporary dental practice
Dec 1, 2021
AIM: This study aimed to discern if a prior intake of a natural sweet remedy (honey) impacted pain perception during intraoral injections.
Evaluating the Effect of Denosumab in Preventing Anchorage Loss: A Split-mouth Randomized Controlled Trial.
The journal of contemporary dental practice
Dec 1, 2021
AIM: The trial was focused on assessing the effect of Denosumab in preventing anchorage loss during en-masse anterior retraction and evaluating its effect on the retraction.
Prediction of the treatment outcome using machine learning with FDG-PET image-based multiparametric approach in patients with oral cavity squamous cell carcinoma.
Clinical radiology
Apr 30, 2021
AIM: To investigate the value of machine learning-based multiparametric analysis using 2-[F]-fluoro-2-deoxy-d-glucose positron-emission tomography (FDG-PET) images to predict treatment outcome in patients with oral cavity squamous cell carcinoma (OCS...
Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study.
Dento maxillo facial radiology
Apr 29, 2021
OBJECTIVES: This study aimed to improve the impact of the metal artefact reduction (MAR) algorithm for the oral cavity by assessing the effect of acquisition and reconstruction parameters on an ultra-high-resolution CT (UHRCT) scanner.
Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches.
Critical reviews in microbiology
May 21, 2020
In the past decade, there has been a tremendous increase in studies on the link between oral microbiome and systemic diseases. However, variations in study design and confounding variables across studies often lead to inconsistent observations. In th...
Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs).
PloS one
Dec 19, 2019
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. However, the methodological challenges of identifying yawns from ultrasonographic scans have not been systematically addressed. We report two studies th...
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