AIMC Topic: Head and Neck Neoplasms

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Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 14, 2025
PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), often achieve good locoregional control (LRC), yet they suffer significant toxicities from standard che...
Dose Fractionation, Radiation Reinforcement Machine Learning Head and Neck Neoplasms Support Vector Machine Radiotherapy Planning, Computer-Assisted Humans Deep Learning Squamous Cell Carcinoma of Head and Neck
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Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data.

Journal of applied clinical medical physics Mar 14, 2025
PURPOSE: Training deep learning dose prediction models for the latest cutting-edge radiotherapy techniques, such as AI-based nodal radiotherapy (AINRT) and Daily Adaptive AI-based nodal radiotherapy (DA-AINRT), is challenging due to limited data. Thi...
Humans Artificial Intelligence Algorithms Deep Learning Head and Neck Neoplasms Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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A deep learning model for inter-fraction head and neck anatomical changes in proton therapy.

Physics in medicine and biology Mar 10, 2025
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients.A probabilistic daily anatomy model (DAM) for head and neck patients DAM (DAM) is built on the varia...
Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Proton Therapy Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Tomography, X-Ray Computed
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Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging.

Japanese journal of radiology Mar 5, 2025
PURPOSE: To assess the utility of dual-type deep learning (DL)-based image reconstruction with DL-based image denoising and super-resolution processing by comparing images reconstructed with the conventional method in head and neck fat-suppressed (Fs...
Humans Retrospective Studies Head Signal-To-Noise Ratio Deep Learning Adult Image Processing, Computer-Assisted Male Head and Neck Neoplasms Middle Aged Female Neck Magnetic Resonance Imaging Aged Image Interpretation, Computer-Assisted Aged, 80 and over
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Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas.

Oral oncology Mar 4, 2025
OBJECTIVES: Human papillomavirus (HPV) influences the pathobiology of Head and Neck Squamous Cell Carcinomas (HSNCCs). While deep learning shows promise in detecting HPV from hematoxylin and eosin (H&E) stained slides, the histologic features utilize...
Female Male Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Papillomaviridae Humans Artificial Intelligence
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Geometric and Dosimetric Evaluation of a RayStation Deep Learning Model for Auto-Segmentation of Organs at Risk in a Real-World Head and Neck Cancer Dataset.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 1, 2025
AIMS: To assess geometric accuracy and dosimetric impact of a deep learning segmentation (DLS) model on a large, diverse dataset of head and neck cancer (HNC) patients treated with intensity-modulated proton therapy (IMPT).
Radiometry Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Male Head and Neck Neoplasms Middle Aged Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Humans Female Aged
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Worldwide research trends on artificial intelligence in head and neck cancer: a bibliometric analysis.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 27, 2025
OBJECTIVE: This bibliometric analysis aims to explore scientific data on Artificial Intelligence (AI) and Head and Neck Cancer (HNC).
Humans Bibliometrics Artificial Intelligence Biomedical Research Head and Neck Neoplasms
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[MP-MRI in the evaluation of non-operative treatment response, for residual and recurrent tumor detection in head and neck cancer].

Magyar onkologia Feb 23, 2025
As non-surgical therapies gain acceptance in head and neck tumors, the importance of imaging has increased. New therapeutic methods (in radiation therapy, targeted biological therapy, immunotherapy) need better tumor characterization and prognostic i...
Treatment Outcome Head and Neck Neoplasms Contrast Media Humans Neoplasm, Residual Diffusion Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging Neoplasm Staging Neoplasm Recurrence, Local
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Democratizing cancer detection: artificial intelligence-enhanced endoscopy could address global disparities in head and neck cancer outcomes.

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 Feb 18, 2025
INTRODUCTION: This article explores the potential role of artificial intelligence (AI) in enhancing the early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC).
Early Detection of Cancer Healthcare Disparities Endoscopy Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Humans Artificial Intelligence
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Multi-task learning for automated contouring and dose prediction in radiotherapy.

Physics in medicine and biology Feb 18, 2025
. Deep learning (DL)-based automated contouring and treatment planning has been proven to improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy treatment planning process has the automated contouring and treatment pl...
Automation Radiation Dosage Radiotherapy Dosage Head and Neck Neoplasms Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Male Humans Deep Learning Image Processing, Computer-Assisted
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