AIMC Topic: Anatomic Landmarks

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Multimodal deep learning for cephalometric landmark detection and treatment prediction.

Scientific reports Jul 12, 2025
In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making. Traditional approaches rely on manual landmark identification, which is time-consuming and subject ...
Anatomic Landmarks Cephalometry Humans Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Treatment Outcome
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Landmark display system for laparoscopic inguinal hernia repair using artificial intelligence.

Surgical endoscopy Jun 30, 2025
BACKGROUND: Chronic postoperative inguinal pain (CPIP) is a major complication of inguinal hernia repair and significantly affects patients' quality of life. Despite the widespread use of transabdominal preperitoneal repair (TAPP), CPIP still occurs....
Artificial Intelligence Female Aged Humans Anatomic Landmarks Laparoscopy Pain, Postoperative Adult Male Middle Aged Herniorrhaphy Hernia, Inguinal
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Automated landmark-based mid-sagittal plane: reliability for 3-dimensional mandibular asymmetry assessment on head CT scans.

Clinical oral investigations May 26, 2025
OBJECTIVE: The determination of the mid-sagittal plane (MSP) on three-dimensional (3D) head imaging is key to the assessment of facial asymmetry. The aim of this study was to evaluate the reliability of an automated landmark-based MSP to quantify man...
Adolescent Imaging, Three-Dimensional Mandible Reproducibility of Results Facial Asymmetry Anatomic Landmarks Humans Cephalometry Adult Tomography, X-Ray Computed Male Female
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Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.

BMC oral health Apr 24, 2025
BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly, computer-assisted learning has demonstrated teaching outcomes comparable to those of traditional me...
Orthodontics Computer-Assisted Instruction Students, Dental Humans Anatomic Landmarks Artificial Intelligence Cephalometry Female Education, Dental Male
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Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study.

BMC oral health Apr 8, 2025
BACKGROUND: Manual landmark detection in cone beam computed tomography (CBCT) for evaluating craniofacial structures relies on medical expertise and is time-consuming. This study aimed to apply a new deep learning method to predict and locate soft an...
Male Deep Learning Cone-Beam Computed Tomography Image Processing, Computer-Assisted Anatomic Landmarks Humans Malocclusion Algorithms Female
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Deep learning based quantitative cervical vertebral maturation analysis.

Head & face medicine Mar 26, 2025
OBJECTIVES: This study aimed to enhance clinical diagnostics for quantitative cervical vertebral maturation (QCVM) staging with precise landmark localization. Existing methods are often subjective and time-consuming, while deep learning alternatives ...
Cervical Vertebrae Age Determination by Skeleton Humans Child Male Neural Networks, Computer Anatomic Landmarks Female Deep Learning Cephalometry Adolescent
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Classification of skeletal discrepancies by machine learning based on three-dimensional facial scans.

International journal of oral and maxillofacial surgery Mar 17, 2025
The aim of this study was to use machine learning (ML) to classify sagittal and vertical skeletal discrepancies in three-dimensional (3D) facial scans, as well as to evaluate shape variability. 3D facial scans from 435 pre-orthodontic patients were s...
Face Malocclusion Male Adolescent Principal Component Analysis Machine Learning Imaging, Three-Dimensional Humans Female Anatomic Landmarks Adult Cephalometry
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Artificial intelligence-assisted identification and assessment of mandibular asymmetry on panoramic radiography.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics Mar 6, 2025
INTRODUCTION: Mandibular symmetry is crucial in orthodontic diagnosis and treatment planning. This study aimed to establish an artificial intelligence (AI) method to automatically and accurately identify mandibular landmarks and assess asymmetry via ...
Facial Asymmetry Mandible Anatomic Landmarks Radiography, Panoramic Artificial Intelligence Female Male Humans
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Development of Artificial Intelligence-Supported Automatic Three-Dimensional Surface Cephalometry.

Orthodontics & craniofacial research Mar 4, 2025
OBJECTIVE: Surface-based three-dimensional (3D) cephalometry provides detailed clinical information for the analysis of craniofacial structures. This study aimed to develop an automated 3D surface cephalometry system using mesh fitting based on landm...
Artificial Intelligence Female Adult Humans Mandible Anatomic Landmarks Cephalometry Skull Male Cone-Beam Computed Tomography Imaging, Three-Dimensional
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CephTransX: An attention enhanced feature fusion network leveraging neighborhood rough set approach for cephalometric landmark prediction.

Computers in biology and medicine Feb 25, 2025
The convergence of medical imaging, computer vision, and orthodontics has made automatic cephalometric landmark detection a pivotal area of research. Accurate cephalometric analysis is crucial in orthodontics, orthognathic and maxillofacial surgery f...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Anatomic Landmarks Algorithms Cephalometry
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