AIMC Topic: Head and Neck Neoplasms

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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...
Head and Neck Neoplasms Aged Adult Male Middle Aged Squamous Cell Carcinoma of Head and Neck Prognosis Female Sweden Humans Machine Learning
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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...
Tumor Microenvironment Biomarkers, Tumor Male Prognosis Female Head and Neck Neoplasms Hypoxia Gene Expression Profiling Lactic Acid Gene Expression Regulation, Neoplastic Squamous Cell Carcinoma of Head and Neck Humans
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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...
Humans Neural Networks, Computer Head and Neck Neoplasms Deep Learning Bayes Theorem Imaging, Three-Dimensional
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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.
Immunohistochemistry Hematoxylin Lymph Nodes Head and Neck Neoplasms Lymphatic Metastasis Convolutional Neural Networks Staining and Labeling Neural Networks, Computer Female Aged Colorectal Neoplasms Male Middle Aged Humans
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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...
Head and Neck Neoplasms Medical Oncology Humans Artificial Intelligence Algorithms
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Development of a patient reported outcomes based machine learning model to predict recurrences in head and neck cancer.

Oral oncology Jun 1, 2025
INTRODUCTION: Recurrence rates among Head and Neck Cancer (HNC) patients are high, with earlier detection associated with improved survival. Patient-reported outcomes (PROs) have increasingly been found to predict patient care needs. Here, we examine...
Humans Machine Learning Female Middle Aged Head and Neck Neoplasms Neoplasm Recurrence, Local Aged Adult Male Patient Reported Outcome Measures
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Machine learning in risk assessment for microvascular head and neck surgery.

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 Jun 1, 2025
PURPOSE: The integration of machine learning (ML) into microvascular surgery for the head and neck offers significant potential to enhance risk stratification, outcome prediction, and decision support. Traditional risk assessment methods are often li...
Head and Neck Neoplasms Microsurgery Surgical Flaps Machine Learning Risk Assessment Humans Postoperative Complications
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Improvement of deep learning-based dose conversion accuracy to a Monte Carlo algorithm in proton beam therapy for head and neck cancers.

Journal of radiation research May 23, 2025
This study is aimed to clarify the effectiveness of the image-rotation technique and zooming augmentation to improve the accuracy of the deep learning (DL)-based dose conversion from pencil beam (PB) to Monte Carlo (MC) in proton beam therapy (PBT). ...
Radiotherapy Dosage Monte Carlo Method Proton Therapy Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed Deep Learning Radiation Dosage
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On factors that influence deep learning-based dose prediction of head and neck tumors.

Physics in medicine and biology May 22, 2025
This study investigates key factors influencing deep learning-based dose prediction models for head and neck cancer radiation therapy. The goal is to evaluate model accuracy, robustness, and computational efficiency, and to identify key components ne...
Tomography, X-Ray Computed Deep Learning Head and Neck Neoplasms Radiotherapy Dosage Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage
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Navigating challenging patient factors in systemic therapy for head and neck cancer.

The oncologist May 8, 2025
Patients with head and neck cancer often present with complex challenges due to a substantial comorbidity burden, including substance use disorders, and the tumor's location in regions that are both cosmetically and anatomically sensitive. These chal...
Humans Head and Neck Neoplasms
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