AIMC Topic: Head and Neck Neoplasms

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A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

Biomedical physics & engineering express Apr 22, 2025
. 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...
Male Deep Learning Head and Neck Neoplasms Humans Machine Learning Algorithms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Prostatic Neoplasms Feasibility Studies Radiotherapy Planning, Computer-Assisted
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Histological tumor necrosis predicts decreased survival after neoadjuvant chemotherapy in head and neck squamous cell carcinoma.

Oral oncology Apr 16, 2025
OBJECTIVE: Despite growing interest in neoadjuvant therapies, there are no methods to predict radio- (RT) or chemoradiotherapy (CRT) response in head and neck squamous cell carcinoma (HNSCC). The aim of this research was to study the effect of neoadj...
Humans Retrospective Studies Head and Neck Neoplasms Neoadjuvant Therapy Necrosis Male Middle Aged Squamous Cell Carcinoma of Head and Neck Female Aged Adult
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging Apr 10, 2025
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).
Radiographic Image Interpretation, Computer-Assisted Quality Improvement Artifacts Computed Tomography Angiography Radiography, Dual-Energy Scanned Projection Head Signal-To-Noise Ratio Deep Learning Head and Neck Neoplasms Neck Adult Male Middle Aged Humans Algorithms Prospective Studies Aged Aged, 80 and over Tomography, X-Ray Computed Female
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Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980-2030).

PloS one Apr 9, 2025
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.
Middle Aged Deep Learning Humans Incidence Global Burden of Disease Adult Head and Neck Neoplasms Female Disability-Adjusted Life Years Male Quality-Adjusted Life Years Aged Global Health
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Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniques.

Medical physics Mar 31, 2025
BACKGROUND: Variations in medical images specific to individual scanners restrict the use of radiomics in both clinical practice and research. To create reproducible and generalizable radiomics-based models for outcome prediction and assessment, data...
Middle Aged Image Processing, Computer-Assisted Head and Neck Neoplasms Magnetic Resonance Imaging Adult Radiomics Male Radiation Injuries Xerostomia Humans Machine Learning Female Aged
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Deep learning techniques for proton dose prediction across multiple anatomical sites and variable beam configurations.

Physics in medicine and biology Mar 27, 2025
To evaluate the impact of beam mask implementation and data aggregation on artificial intelligence-based dose prediction accuracy in proton therapy, with a focus on scenarios involving limited or highly heterogeneous datasets.In this study, 541 prost...
Radiation Dosage Radiotherapy Dosage Proton Therapy Head and Neck Neoplasms Humans Prostatic Neoplasms Male Radiotherapy Planning, Computer-Assisted Deep Learning
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Deep learning-based segmentation of head and neck organs at risk on CBCT images with dosimetric assessment for radiotherapy.

Physics in medicine and biology Mar 26, 2025
Cone beam computed tomography (CBCT) has become an essential tool in head and neck cancer (HNC) radiotherapy (RT) treatment delivery. Automatic segmentation of the organs at risk (OARs) on CBCT can trigger and accelerate treatment replanning but is s...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Humans Deep Learning Radiotherapy Dosage Head and Neck Neoplasms Radiometry Organs at Risk Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted
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[New developments in the radiotherapy for head and neck cancer].

Magyar onkologia Mar 20, 2025
The incidence of head and neck tumours is rising significantly worldwide. Radiotherapy has a significant role in their treatment, not only after surgery, but also as a definitive treatment, as an organ-preserving modality. Nowadays, the incidence of ...
Artificial Intelligence Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Radiosurgery Humans
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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)) Mar 20, 2025
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...
Natural Language Processing Humans Electronic Health Records Head and Neck Neoplasms
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Closing the gap in plan quality: Leveraging deep-learning dose prediction for adaptive radiotherapy.

Journal of applied clinical medical physics Mar 19, 2025
PURPOSE: Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re-optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a hi...
Humans Organs at Risk Retrospective Studies Radiotherapy Dosage Algorithms Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy, Intensity-Modulated Head and Neck Neoplasms
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