AIMC Topic: Lip

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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Scientific reports
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...

Deep Learning-Based Assessment of Lip Symmetry for Patients With Repaired Cleft Lip.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association
ObjectivePost-surgical lip symmetry assessment is a key indicator of cleft repair success. Traditional methods rely on distances between anatomical landmarks, which are impractical for video analysis and overlook texture and appearance. We propose an...

Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures.

Plastic and reconstructive surgery
Text-to-image models powered by artificial intelligence offer a promising tool for enhancing patients' comprehension of cosmetic surgery outcomes and providing personalized visual forecasts of their appearance after the procedure. This study explores...

Speech recognition using an english multimodal corpus with integrated image and depth information.

Scientific reports
Traditional English corpora mainly collect information from a single modality, but lack information from multimodal information, resulting in low quality of corpus information and certain problems with recognition accuracy. To solve the above problem...

Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.

Journal of dentistry
OBJECTIVES: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Or...

Deep learning based detection and classification of fetal lip in ultrasound images.

Journal of perinatal medicine
OBJECTIVES: Fetal cleft lip is a common congenital defect. Considering the delicacy and difficulty of observing fetal lips, we have utilized deep learning technology to develop a new model aimed at quickly and accurately assessing the development of ...

Facial profile evaluation and prediction of skeletal class II patients during camouflage extraction treatment: a pilot study.

Head & face medicine
BACKGROUND: The evaluation of the facial profile of skeletal Class II patients with camouflage treatment is of great importance for patients and orthodontists. The aim of this study is to explore the key factors in evaluating the facial profile esthe...

XGBoost-aided prediction of lip prominence based on hard-tissue measurements and demographic characteristics in an Asian population.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: Prediction of lip prominence based on hard-tissue measurements could be helpful in orthodontic treatment planning and has been challenging and formidable thus far.