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Head and Neck Neoplasms

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Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980-2030).

PloS one 40203229
BACKGROUND: Head and neck cancer (HNC) becomes a vital global health burden. Accurate assessment of the disease burden plays an essential role in setting health priorities and guiding decision-making.
Adult Aged Deep Learning Disability-Adjusted Life Years Female Global Burden of Disease Global Health Head and Neck Neoplasms Humans Incidence Male Middle Aged Quality-Adjusted Life Years
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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 40122764
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.
Female Head and Neck Neoplasms Humans Lymph Nodes Lymphatic Metastasis Machine Learning Male Middle Aged Neck Neural Networks, Computer Radiomics Squamous Cell Carcinoma of Head and Neck Ultrasonography
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Automated detection of metastatic lymph nodes in head and neck malignant tumors on high - resolution MRI images using an improved convolutional neural network.

International journal of medical informatics 40220628
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck malignant tumors using MRI, enabling non-invasive pre-surgical metastasis diagnosis.
Adult Aged Convolutional Neural Networks Female Head and Neck Neoplasms Humans Image Interpretation, Computer-Assisted Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Retrospective Studies Sensitivity and Specificity
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Natural Language Processing to Extract Head and Neck Cancer Data From Unstructured Electronic Health Records.

Clinical oncology (Royal College of Radiologists (Great Britain)) 40188745
AIMS: Patient data is frequently stored as unstructured data within Electronic Health Records (EHRs), requiring manual curation. AI tools using Natural Language Processing (NLP) may rapidly curate accurate real-world unstructured EHRs to enrich datas...
Electronic Health Records Head and Neck Neoplasms Humans Natural Language Processing
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Identification of a telomere-related gene signature for the prognostic and immune landscape prediction in head and neck squamous cell carcinoma by integrated analysis of machine learning and Mendelian randomization.

Medicine 40258723
Telomere-related genes (TRGs) are vital in diverse tumor types. Nevertheless, there is a notable lack of in-depth research concerning their significance in head and neck squamous cell carcinoma (HNSCC). In this context, the present study aims to asse...
Biomarkers, Tumor Female Head and Neck Neoplasms Humans Machine Learning Male Mendelian Randomization Analysis Middle Aged Prognosis Squamous Cell Carcinoma of Head and Neck Telomere
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging 40211222
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Adult Aged Aged, 80 and over Algorithms Artifacts Computed Tomography Angiography Deep Learning Female Head Head and Neck Neoplasms Humans Male Middle Aged Neck Prospective Studies Quality Improvement Radiographic Image Interpretation, Computer-Assisted Radiography, Dual-Energy Scanned Projection Signal-To-Noise Ratio Tomography, X-Ray Computed
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Reinforcement learning-driven automated head and neck simultaneous integrated boost (SIB) radiation therapy: flexible treatment planning aligned with clinical preferences.

Physics in medicine and biology 40209749
Head-and-neck simultaneous integrated boost (SIB) treatment planning using intensity modulated radiation therapy is particularly challenging due to the proximity to organs-at-risk. Depending on the specific clinical conditions, different parotid-spar...
Automation Deep Learning Head and Neck Neoplasms Humans Organs at Risk Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated
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A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

Biomedical physics & engineering express 40203852
. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely on complex model architectures and large, high-quality training datasets. However, they cannot fully replace the conventional optimization process. Thi...
Algorithms Deep Learning Feasibility Studies Head and Neck Neoplasms Humans Machine Learning Male Prostatic Neoplasms Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated
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Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma.

Scientific reports 40328901
Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecular underpinnings. Hodgkin lymphoma (HL), another distinct cancer type, shares several biological characteristics with HNSCC, particularly regarding im...
Biomarkers, Tumor Computational Biology Gene Expression Profiling Gene Expression Regulation, Neoplastic Gene Regulatory Networks Head and Neck Neoplasms Hodgkin Disease Humans Machine Learning Prognosis Protein Interaction Maps Squamous Cell Carcinoma of Head and Neck Tumor Microenvironment
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Effects of Deep Learning-Based Reconstruction on the Quality of Accelerated Contrast-Enhanced Neck MRI.

Korean journal of radiology 40307199
OBJECTIVE: To compare the quality of deep learning-reconstructed turbo spin-echo (DL-TSE) and conventionally interpolated turbo spin-echo (Conv-TSE) techniques in contrast-enhanced MRI of the neck.
Adult Aged Algorithms Contrast Media Deep Learning Female Head and Neck Neoplasms Humans Image Enhancement Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Neck Phantoms, Imaging Signal-To-Noise Ratio
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