AIMC Topic: Head and Neck Neoplasms

Clear Filters Showing 331 to 340 of 357 articles

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...
Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Epithelial Cells Artificial Intelligence Machine Learning Humans
View on PubMed DOI

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...
Humans Datasets as Topic Proportional Hazards Models Kaplan-Meier Estimate Programming Languages Survival Analysis Biomarkers, Tumor Male Lung Neoplasms Biomarkers Head and Neck Neoplasms Neural Networks, Computer Prognosis Machine Learning Female Deep Learning
View on PubMed DOI

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...
Surgical Flaps Neoplasms Head and Neck Neoplasms Plastic Surgery Procedures Robotic Surgical Procedures Robotics Humans Retrospective Studies
View on PubMed DOI

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...
Machine Learning Algorithms Hospitalization Humans Head and Neck Neoplasms Emergency Service, Hospital Middle Aged Ontario
View on PubMed DOI

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...
Magnetic Resonance Imaging Deep Learning Head and Neck Neoplasms Artificial Intelligence Algorithms Humans
View on PubMed DOI

Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms.

Clinical nuclear medicine Nov 1, 2021
PURPOSE: The availability of automated, accurate, and robust gross tumor volume (GTV) segmentation algorithms is critical for the management of head and neck cancer (HNC) patients. In this work, we evaluated 3 state-of-the-art deep learning algorithm...
Positron Emission Tomography Computed Tomography Head and Neck Neoplasms Humans Algorithms Tumor Burden Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Can BMI be a predictor of perioperative complications in Head and Neck cancer surgery?

Polski przeglad chirurgiczny Oct 20, 2021
<b>Introduction:</b> The effect of BMI on development of perioperative complications in head and neck cancer surgeries is not welldefined. </br></br> <b> Aim:</b> This study aims to evaluate the effect of body mass...
Body Mass Index Humans Surgical Wound Infection Head and Neck Neoplasms
View on PubMed DOI

Perspectives in pathomics in head and neck cancer.

Current opinion in oncology May 1, 2021
PURPOSE OF REVIEW: Pathology is the cornerstone of cancer care. Pathomics, which represents the use of artificial intelligence in digital pathology, is an emerging and promising field that will revolutionize medical and surgical pathology in the comi...
Artificial Intelligence Tumor Microenvironment Image Processing, Computer-Assisted Head and Neck Neoplasms Biomarkers, Tumor Humans Pathology
View on PubMed DOI

Artificial intelligence for automating the measurement of histologic image biomarkers.

The Journal of clinical investigation Apr 15, 2021
Artificial intelligence has been applied to histopathology for decades, but the recent increase in interest is attributable to well-publicized successes in the application of deep-learning techniques, such as convolutional neural networks, for image ...
Neural Networks, Computer Humans Artificial Intelligence Image Processing, Computer-Assisted Biomarkers Head and Neck Neoplasms
View on PubMed DOI

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

The Journal of clinical investigation Apr 15, 2021
BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured with definitive treatment. However, there are currently no reliable biomarkers of treatment failure for p16+ OPSCC. Pathologist-based visual assessment o...
Aged Survival Rate Biomarkers, Tumor Humans Female Deep Learning Head and Neck Neoplasms Cyclin-Dependent Kinase Inhibitor p16 Male Disease-Free Survival Image Processing, Computer-Assisted Follow-Up Studies Middle Aged Squamous Cell Carcinoma of Head and Neck
View on PubMed DOI
Popular Topics
Recent Journals