AIMC Topic: Thyroid Cartilage

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Conventional and machine learning-based analysis of age, body weight and body height significance in knot position-related thyrohyoid and cervical spine fractures in suicidal hangings.

International journal of legal medicine Feb 1, 2025
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot position as the force distribution by the noose to different neck regions may vary depending on it. Recently, machine learning models (MLm) were used to cla...
Cervical Vertebrae Body Weight Adolescent Age Factors Asphyxia Neck Injuries Hyoid Bone Body Height Spinal Fractures Young Adult Adult Male Middle Aged Aged Aged, 80 and over Retrospective Studies Female Thyroid Cartilage Suicide, Completed Humans Machine Learning
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Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height.

BMC anesthesiology Apr 21, 2021
BACKGROUND: Predicting difficult airway is challengeable in patients with limited airway evaluation. The aim of this study is to develop and validate a model that predicts difficult laryngoscopy by machine learning of neck circumference and thyroment...
Datasets as Topic Laryngoscopy Thyroid Cartilage Humans Machine Learning Sensitivity and Specificity Neck
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Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.

Diagnostic and interventional imaging Mar 15, 2019
PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objectives: (1) teach radiologists the new rules of General Data Protection Regulation (GDPR), while building a large multicentric prospective database of ...
Tibial Meniscus Injuries Interprofessional Relations Thyroid Cartilage Kidney Cortex Artificial Intelligence Thyroid Neoplasms Datasets as Topic Tomography, X-Ray Computed Ultrasonography Humans Computer Security Magnetic Resonance Imaging Breast Neoplasms Liver Neoplasms Communication Neoplasm Invasiveness
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Detecting abnormal thyroid cartilages on CT using deep learning.

Diagnostic and interventional imaging Feb 25, 2019
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in detecting abnormalities of thyroid cartilage from computed tomography (CT) examination.
Thyroid Cartilage Deep Learning Thyroid Neoplasms Humans Neoplasm Invasiveness Tomography, X-Ray Computed Algorithms Datasets as Topic Sensitivity and Specificity
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Diagnosis of thyroid cartilage invasion by laryngeal and hypopharyngeal cancers based on CT with deep learning.

European journal of radiology Aug 1, 2025
OBJECTIVES: To develop a convolutional neural network (CNN) model to diagnose thyroid cartilage invasion by laryngeal and hypopharyngeal cancers observed on computed tomography (CT) images and evaluate the model's diagnostic performance.
Middle Aged Deep Learning Sensitivity and Specificity Male Laryngeal Neoplasms Hypopharyngeal Neoplasms Tomography, X-Ray Computed Thyroid Cartilage Neoplasm Invasiveness Female Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Adult Aged Humans Retrospective Studies
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