AIMC Topic: Squamous Cell Carcinoma of Head and Neck

Clear Filters Showing 11 to 20 of 121 articles

Democratizing cancer detection: artificial intelligence-enhanced endoscopy could address global disparities in head and neck cancer outcomes.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Feb 18, 2025
INTRODUCTION: This article explores the potential role of artificial intelligence (AI) in enhancing the early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC).
Humans Artificial Intelligence Endoscopy Healthcare Disparities Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Early Detection of Cancer
View on PubMed DOI

Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 16, 2025
BACKGROUND: Immunotherapy has revolutionized the treatment landscape for head and neck squamous cell carcinoma (HNSCC) and PD-L1 combined positivity score (CPS) scoring is recommended as a biomarker for immunotherapy. Therefore, this study aimed to d...
Humans Prognosis Female Immune Checkpoint Inhibitors Male B7-H1 Antigen Aged Middle Aged Squamous Cell Carcinoma of Head and Neck Adult Deep Learning Biomarkers, Tumor Head and Neck Neoplasms Magnetic Resonance Imaging
View on PubMed DOI

Multiple machine learning-based integrations of multi-omics data to identify molecular subtypes and construct a prognostic model for HNSCC.

Hereditas Feb 6, 2025
BACKGROUND: Immunotherapy has introduced new breakthroughs in improving the survival of head and neck squamous cell carcinoma (HNSCC) patients, yet drug resistance remains a critical challenge. Developing personalized treatment strategies based on th...
Head and Neck Neoplasms Prognosis Multiomics Squamous Cell Carcinoma of Head and Neck Humans Machine Learning
View on PubMed DOI

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

IEEE transactions on neural networks and learning systems Feb 6, 2025
Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging...
Humans Neural Networks, Computer Risk Assessment Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Neoplasms Deep Learning Fuzzy Logic Genomics High-Throughput Nucleotide Sequencing
View on PubMed DOI

Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

Acta cytologica Feb 3, 2025
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challenge due to factors such as late detection and high mortality rates. Early detection is essential through monitoring by healthcare professionals. Cytop...
Middle Aged Pilot Projects Papanicolaou Test Humans Artificial Intelligence Predictive Value of Tests Cytodiagnosis Mouth Neoplasms Image Interpretation, Computer-Assisted Squamous Cell Carcinoma of Head and Neck Female Carcinoma, Squamous Cell Reproducibility of Results Aged Adult Early Detection of Cancer Male
View on PubMed DOI

Enhancing surgical precision in squamous cell carcinoma of the head and neck: Hyperspectral imaging and artificial intelligence for improved margin assessment in an ex vivo setting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 30, 2025
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical resection for optimal outcomes. Achieving complete resection (R0) is crucial, but current methods, relying on white light endoscopy and microscopy, have ...
Female Aged Male Humans Hyperspectral Imaging Middle Aged Neural Networks, Computer Margins of Excision Squamous Cell Carcinoma of Head and Neck Artificial Intelligence Head and Neck Neoplasms
View on PubMed DOI

Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.

Scientific reports Jan 29, 2025
Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificia...
Squamous Cell Carcinoma of Head and Neck Mouth Neoplasms Oropharyngeal Neoplasms Leukoplakia Leukoplakia, Oral Artificial Intelligence Humans Female Male Image Processing, Computer-Assisted
View on PubMed DOI

A radiomics model combining machine learning and neural networks for high-accuracy prediction of cervical lymph node metastasis on ultrasound of head and neck squamous cell carcinoma.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 24, 2025
OBJECTIVE: This study aimed to develop an ultrasound image-based radiomics model for diagnosing cervical lymph node (LN) metastasis in patients with head and neck squamous cell carcinoma (HNSCC) that shows higher accuracy than previous models.
Middle Aged Ultrasonography Lymph Nodes Neck Lymphatic Metastasis Squamous Cell Carcinoma of Head and Neck Humans Female Head and Neck Neoplasms Neural Networks, Computer Radiomics Machine Learning Male
View on PubMed DOI

Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Humans Lymphocytes, Tumor-Infiltrating Machine Learning Neoplasm Grading Carcinoma, Squamous Cell Mouth Neoplasms Reproducibility of Results Squamous Cell Carcinoma of Head and Neck
View on PubMed DOI

Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas.

Laboratory investigation; a journal of technical methods and pathology Jan 16, 2025
The tumor microenvironment plays a critical role in cancer progression and therapeutic responsiveness, with the tumor immune microenvironment (TIME) being a key modulator. In head and neck squamous cell carcinomas (HNSCCs), immune cell infiltration s...
Oropharyngeal Neoplasms Deep Learning Squamous Cell Carcinoma of Head and Neck Immunohistochemistry Humans Prognosis Female Male Middle Aged Aged Tumor Microenvironment
View on PubMed DOI
Popular Topics
Recent Journals