AIMC Topic: Head and Neck Neoplasms

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Semantic Convergence with LLMs for Head and Neck Cancer Quality Indicators.

Studies in health technology and informatics Aug 7, 2025
We developed a novel method for leveraging large language models (LLM) to systematically filter and categorize large numbers of clinical quality indicators (CQI) for head and neck cancer. This was used to transform a tedious, human-resource intensive...
Natural Language Processing Quality Indicators, Health Care Semantics Humans Head and Neck Neoplasms
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Advances in virtual surgical planning for free tissue transfer.

Current opinion in otolaryngology & head and neck surgery Aug 1, 2025
PURPOSE OF REVIEW: This review seeks to describe the current state of virtual surgical planning (VSP) for head and neck free flap reconstruction, highlighting recent advancements, future directions, and outstanding limitations.
Humans Head and Neck Neoplasms Free Tissue Flaps Printing, Three-Dimensional Plastic Surgery Procedures Surgery, Computer-Assisted
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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 Aug 1, 2025
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.
Image Interpretation, Computer-Assisted Head and Neck Neoplasms Retrospective Studies Middle Aged Adult Humans Lymphatic Metastasis Female Neural Networks, Computer Sensitivity and Specificity Magnetic Resonance Imaging Convolutional Neural Networks Aged Male Lymph Nodes
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Automatic contour quality assurance using deep-learning based contours.

Physics in medicine and biology Jul 16, 2025
Safe deployment of auto-contouring models requires the inclusion of automated quality assurance (QA). One such approach is to use two independent auto-contouring models and compare them geometrically for acceptability. This is not effective because g...
Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Automation Humans Female Deep Learning Head and Neck Neoplasms Organs at Risk Quality Control
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U-Attention-Net: a deep learning automatic delineation model for parotid glands in head and neck cancer organs at risk on radiotherapy localization computed tomography images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jul 1, 2025
OBJECTIVE: This study aimed to develop a novel deep learning model, U-Attention-Net (UA-Net), for precise segmentation of parotid glands on radiotherapy localization CT images.
Humans Head and Neck Neoplasms Parotid Gland Organs at Risk Tomography, X-Ray Computed Automation Deep Learning Image Processing, Computer-Assisted
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Machine learning explainability for survival outcome in head and neck squamous cell carcinoma.

International journal of medical informatics Jul 1, 2025
BACKGROUND: Diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC) induces psychological variables and treatment-related toxicity in patients. The evaluation of outcomes is warranted for effective treatment planning and improved dis...
Humans Machine Learning Head and Neck Neoplasms Aged Prognosis Middle Aged Adult Female Squamous Cell Carcinoma of Head and Neck Male Sweden
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Development and experimental verification of a prognosis model for hypoxia- and lactate metabolism-associated genes in HNSCC.

Medicine Jun 13, 2025
Hypoxia and lactate metabolism are both distinctive characteristics of cancerous cells. Head and neck squamous cell carcinoma (HNSCC) is one of the most prevalent forms of cancer. The objective of this study was to construct a prognostic model of gen...
Humans Prognosis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Hypoxia Squamous Cell Carcinoma of Head and Neck Female Male Head and Neck Neoplasms Lactic Acid Tumor Microenvironment Gene Expression Profiling
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Automatic head and neck tumor segmentation through deep learning and Bayesian optimization on three-dimensional medical images.

Computers in biology and medicine Jun 1, 2025
Medical imaging constitutes critical information in the diagnostic and prognostic evaluation of patients, as it serves to uncover a broad spectrum of pathologies and deviances. Clinical practitioners who carry out medical image screening are primaril...
Deep Learning Imaging, Three-Dimensional Head and Neck Neoplasms Bayes Theorem Humans Neural Networks, Computer
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Automated annotation of virtual dual stains to generate convolutional neural network for detecting cancer metastases in H&E-stained lymph nodes.

Pathology, research and practice Jun 1, 2025
CONTEXT: Staging cancer patients is crucial and requires analyzing all removed lymph nodes microscopically for metastasis. For this pivotal task, convolutional neural networks (CNN) can reduce workload and improve diagnostic accuracy.
Humans Neural Networks, Computer Staining and Labeling Lymphatic Metastasis Lymph Nodes Female Immunohistochemistry Head and Neck Neoplasms Aged Hematoxylin Colorectal Neoplasms Male Middle Aged Convolutional Neural Networks
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The Limitations of Artificial Intelligence in Head and Neck Oncology.

Advances in therapy Jun 1, 2025
Artificial intelligence (AI) is revolutionizing head and neck oncology, offering innovations in tumor detection, treatment planning, and patient management. However, its integration into clinical practice is hindered by several limitations. These inc...
Algorithms Head and Neck Neoplasms Medical Oncology Humans Artificial Intelligence
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