AIMC Topic: Anatomic Landmarks

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Evaluation of automated photograph-cephalogram image integration using artificial intelligence models.

The Angle orthodontist Nov 1, 2024
OBJECTIVES: To develop and evaluate an automated method for combining a digital photograph with a lateral cephalogram.
Artificial Intelligence Algorithms Female Reproducibility of Results Humans Anatomic Landmarks Cephalometry Face Photography Male Deep Learning Adolescent Image Processing, Computer-Assisted
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Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods.

The Angle orthodontist Sep 1, 2024
OBJECTIVES: To evaluate an artificial intelligence (AI) model in predicting soft tissue and alveolar bone changes following orthodontic treatment and compare the predictive performance of the AI model with conventional prediction models.
Artificial Intelligence Female Young Adult Adult Humans Neural Networks, Computer Anatomic Landmarks Cephalometry Linear Models Orthodontics, Corrective Male Adolescent Treatment Outcome Least-Squares Analysis Alveolar Process
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Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

The Angle orthodontist Sep 1, 2024
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) model in predicting orthognathic surgical outcomes compared to conventional prediction methods.
Female Young Adult Cephalometry Adult Linear Models Artificial Intelligence Male Humans Orthognathic Surgical Procedures Adolescent Algorithms Neural Networks, Computer Treatment Outcome Forecasting Least-Squares Analysis Retrospective Studies Anatomic Landmarks
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Can artificial intelligence-driven cephalometric analysis replace manual tracing? A systematic review and meta-analysis.

European journal of orthodontics Aug 1, 2024
OBJECTIVES: This systematic review and meta-analysis aimed to investigate the accuracy and efficiency of artificial intelligence (AI)-driven automated landmark detection for cephalometric analysis on two-dimensional (2D) lateral cephalograms and thre...
Cephalometry Humans Artificial Intelligence Cone-Beam Computed Tomography Imaging, Three-Dimensional Anatomic Landmarks
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Transfer learning for anatomical structure segmentation in otorhinolaryngology microsurgery.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 1, 2024
BACKGROUND: Reducing the annotation burden is an active and meaningful area of artificial intelligence (AI) research.
Anatomic Landmarks Machine Learning Algorithms Surgery, Computer-Assisted Humans Image Processing, Computer-Assisted Otorhinolaryngologic Surgical Procedures Neural Networks, Computer Microsurgery Artificial Intelligence
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Using a New Deep Learning Method for 3D Cephalometry in Patients With Hemifacial Microsomia.

Annals of plastic surgery Sep 1, 2023
Deep learning algorithms based on automatic 3D cephalometric marking points about people without craniomaxillofacial deformities have achieved good results. However, there has been no previous report about hemifacial microsomia (HFM). The purpose of ...
Artificial Intelligence Imaging, Three-Dimensional Algorithms Humans Reproducibility of Results Anatomic Landmarks Deep Learning Cephalometry Goldenhar Syndrome
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Convolutional Neural Network Models for Automatic Preoperative Severity Assessment in Unilateral Cleft Lip.

Plastic and reconstructive surgery Jul 1, 2021
BACKGROUND: Despite the wide range of cleft lip morphology, consistent scales to categorize preoperative severity do not exist. Machine learning has been used to increase accuracy and efficiency in detection and rating of multiple conditions, yet it ...
Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Humans Anatomic Landmarks Counseling Mobile Applications Clinical Decision-Making Feasibility Studies Rhinoplasty Datasets as Topic Remote Consultation Nose Preoperative Period Automated Facial Recognition Cleft Lip Photography
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Application of Artificial Intelligence for Real-Time Facial Asymmetry Analysis.

Plastic and reconstructive surgery Aug 1, 2020
Facial Asymmetry Patient Care Planning Anatomic Landmarks Software Facial Paralysis Face Female Image Processing, Computer-Assisted Humans Plastic Surgery Procedures Artificial Intelligence
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Toward an Automatic System for Computer-Aided Assessment in Facial Palsy.

Facial plastic surgery & aesthetic medicine Jan 1, 2020
Quantitative assessment of facial function is challenging, and subjective grading scales such as House-Brackmann, Sunnybrook, and eFACE have well-recognized limitations. Machine learning (ML) approaches to facial landmark localization carry great cl...
Adolescent Child Anatomic Landmarks Humans Facial Paralysis Male Female Facial Expression Machine Learning Middle Aged Aged Photography Diagnosis, Computer-Assisted Aged, 80 and over Adult
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Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet.

The Journal of craniofacial surgery Jan 1, 2019
BACKGROUND: Cephalometric analysis has long been, and still is one of the most important tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x-ray film and plotting landmarks have been required. This procedure...
Internet Microcomputers Humans Image Processing, Computer-Assisted Reproducibility of Results Radiography Deep Learning Anatomic Landmarks Cephalometry
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