Head and Neck Neoplasms

Automated tumor localization and segmentation through hybrid neural network in head and neck cancer.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Oct 10, 2024

PURPOSE: Head and Neck (H&N) cancer accounts for 3% of cancer cases in the United States. Precise tumor segmentation in H&N is of utmost importance for treatment planning and administering personalized treatment dose. We aimed to develop an automatic...

Deep Learning Head and Neck Neoplasms Neoplasm Staging Datasets as Topic Humans Neural Networks, Computer

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Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer.

Physics in medicine and biology Sep 20, 2024

. Previous methods for robustness evaluation rely on dose calculation for a number of uncertainty scenarios, which either fails to provide statistical meaning when the number is too small (e.g., ∼8) or becomes unfeasible in daily clinical practice wh...

Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Uncertainty Humans

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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal of applied clinical medical physics Sep 16, 2024

PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.

Software Algorithms Prognosis Humans Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy Dosage Head and Neck Neoplasms Radiotherapy, Intensity-Modulated Organs at Risk

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Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery Sep 14, 2024

OBJECTIVE: Machine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients.

Male Middle Aged Cohort Studies Head and Neck Neoplasms Female Aged Adult Humans Machine Learning Algorithms

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Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology.

The Laryngoscope Sep 11, 2024

OBJECTIVE: This study aimed to assess reporting quality of machine learning (ML) algorithms in the head and neck oncology literature using the TRIPOD-AI criteria.

Humans Algorithms Machine Learning Head and Neck Neoplasms Medical Oncology

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Contrast-Enhanced Computed Tomography-Based Machine Learning Radiomics Predicts IDH1 Expression and Clinical Prognosis in Head and Neck Squamous Cell Carcinoma.

Academic radiology Sep 10, 2024

RATIONALE AND OBJECTIVES: Isocitrate dehydrogenase 1 (IDH1) is a potential therapeutic target across various tumor types. Here, we aimed to devise a radiomic model capable of predicting the IDH1 expression levels in patients with head and neck squamo...

Contrast Media Tomography, X-Ray Computed Middle Aged Isocitrate Dehydrogenase Female Squamous Cell Carcinoma of Head and Neck Aged Humans Head and Neck Neoplasms Biomarkers, Tumor Machine Learning Adult Male Prognosis Radiomics

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Development of a novel prognostic signature derived from super-enhancer-associated gene by machine learning in head and neck squamous cell carcinoma.

Oral oncology Sep 7, 2024

Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and progression. SEs have been demonstrated as novel promising diagnostic/prognostic biomarkers and therapeutic targets across multiple human cancers. He...

Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Enhancer Elements, Genetic Cell Line, Tumor Mice Gene Expression Regulation, Neoplastic Machine Learning Prognosis Female Biomarkers, Tumor Animals Male Humans

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The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

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 Sep 6, 2024

OBJECTIVE: The incidence of non-melanoma skin cancers, encompassing basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), is on the rise globally and new methods to improve skin malignancy diagnosis are necessary. This study aims t...

Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Humans Algorithms Prospective Studies Head and Neck Neoplasms Longitudinal Studies Keratosis, Seborrheic Keratosis, Actinic Cheilitis Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Deep Learning

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Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions.

Current oncology (Toronto, Ont.) Sep 6, 2024

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This review highlights the advancements in AI technologies, including...

Deep Learning Head and Neck Neoplasms Humans Artificial Intelligence

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Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation.

Biomedical physics & engineering express Aug 30, 2024

Target volumes for radiotherapy are usually contoured manually, which can be time-consuming and prone to inter- and intra-observer variability. Automatic contouring by convolutional neural networks (CNN) can be fast and consistent but may produce unr...

Head and Neck Neoplasms Retrospective Studies Humans Positron Emission Tomography Computed Tomography Deep Learning Uncertainty Fluorodeoxyglucose F18 Neural Networks, Computer Image Processing, Computer-Assisted Algorithms

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Automated tumor localization and segmentation through hybrid neural network in head and neck cancer.

Deep learning-based statistical robustness evaluation of intensity-modulated proton therapy for head and neck cancer.

Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Machine Learning in Clinical Diagnosis of Head and Neck Cancer.

Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology.

Contrast-Enhanced Computed Tomography-Based Machine Learning Radiomics Predicts IDH1 Expression and Clinical Prognosis in Head and Neck Squamous Cell Carcinoma.

Development of a novel prognostic signature derived from super-enhancer-associated gene by machine learning in head and neck squamous cell carcinoma.

The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies.

Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions.

Deep learning with uncertainty estimation for automatic tumor segmentation in PET/CT of head and neck cancers: impact of model complexity, image processing and augmentation.

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