AIMC Topic: Head and Neck Neoplasms

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Prognostic value of CDKN2A in head and neck squamous cell carcinoma via pathomics and machine learning.

Journal of cellular and molecular medicine May 1, 2024
This study aims to enhance the prognosis prediction of Head and Neck Squamous Cell Carcinoma (HNSCC) by employing artificial intelligence (AI) to analyse CDKN2A gene expression from pathology images, directly correlating with patient outcomes. Our ap...
Female Aged Biomarkers, Tumor Humans Machine Learning Prognosis Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Cyclin-Dependent Kinase Inhibitor p16 Male Middle Aged Gene Expression Regulation, Neoplastic
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Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach.

Polish journal of pathology : official journal of the Polish Society of Pathologists Jan 1, 2024
Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological im...
Male Female Head and Neck Neoplasms Humans Aged Middle Aged Prognosis Biomarkers, Tumor TWEAK Receptor Squamous Cell Carcinoma of Head and Neck
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Revolution of Medical Review: The Application of Meta-Analysis and Convolutional Neural Network-Natural Language Processing in Classifying the Literature for Head and Neck Cancer Radiotherapy.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2024
This study explored the application of meta-analysis and convolutional neural network-natural language processing (CNN-NLP) technologies in classifying literature concerning radiotherapy for head and neck cancer. It aims to enhance both the efficienc...
Neural Networks, Computer Humans Deep Learning Natural Language Processing Head and Neck Neoplasms Meta-Analysis as Topic Review Literature as Topic
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[Cox model analysis of curative effect and prognostic factors of oral robot-assisted RPLN dissection for head and neck malignancies].

Shanghai kou qiang yi xue = Shanghai journal of stomatology Oct 1, 2023
PURPOSE: To investigate the efficacy and prognostic factors of oral robot-assisted retropharyngeal lymph node (RPLN) dissection in the treatment of head and neck malignancies.
Humans Prognosis Male Lymph Nodes Head and Neck Neoplasms Retrospective Studies Female Carcinoma, Squamous Cell Proportional Hazards Models Robotics Neck Dissection Neoplasm Staging
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[Deep learning-based dose prediction in radiotherapy planning for head and neck cancer].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jun 20, 2023
OBJECTIVE: To propose an deep learning-based algorithm for automatic prediction of dose distribution in radiotherapy planning for head and neck cancer.
Head and Neck Neoplasms Algorithms Deep Learning Humans Neural Networks, Computer
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Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Jun 9, 2023
Gray-level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT) analyses are two contemporary computational methods that can identify discrete changes in cell and tissue textural features. Previous research has indicated that these method...
Machine Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Epithelial Cells Humans Artificial Intelligence
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Statistical and Machine Learning Methods for Discovering Prognostic Biomarkers for Survival Outcomes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2023
Discovering molecular biomarkers for predicting patient survival outcomes is an essential step toward improving prognosis and therapeutic decision-making in the treatment of severe diseases such as cancer. Due to the high-dimensionality nature of omi...
Kaplan-Meier Estimate Datasets as Topic Proportional Hazards Models Humans Male Deep Learning Lung Neoplasms Prognosis Head and Neck Neoplasms Neural Networks, Computer Female Programming Languages Machine Learning Biomarkers, Tumor Survival Analysis Biomarkers
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Methodology in Conventional Head and Neck Reconstruction Following Robotic Cancer Surgery: A Bridgehead Robotic Head and Neck Reconstruction.

Yonsei medical journal Aug 1, 2022
PURPOSE: Robotic head and neck surgery is widespread nowadays. However, in the reconstruction field, the use of robotic operations is not. This article aimed to examine methodologies for conventional head and neck reconstruction after robotic tumor s...
Robotic Surgical Procedures Surgical Flaps Head and Neck Neoplasms Robotics Plastic Surgery Procedures Humans Retrospective Studies Neoplasms
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Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

JAMA otolaryngology-- head & neck surgery Aug 1, 2022
IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency department use and unplanned hospitalization (ED/Hosp) in patients with head and neck cancer. It was hypothesized that symptom scores could be combined wit...
Hospitalization Middle Aged Ontario Head and Neck Neoplasms Emergency Service, Hospital Humans Machine Learning Algorithms
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Artificial Intelligence and Deep Learning of Head and Neck Cancer.

Magnetic resonance imaging clinics of North America Feb 1, 2022
Artificial intelligence (AI) algorithms, particularly deep learning, have developed to the point that they can be applied in image recognition tasks. The use of AI in medical imaging can guide radiologists to more accurate image interpretation and di...
Deep Learning Head and Neck Neoplasms Magnetic Resonance Imaging Artificial Intelligence Algorithms Humans
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