AIMC Topic: Head and Neck Neoplasms

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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...
Head and Neck Neoplasms Natural Language Processing Humans Electronic Health Records
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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...
Retrospective Studies Radiotherapy Dosage Deep Learning Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Algorithms
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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...
Reinforcement Machine Learning Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Humans Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine
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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...
Artificial Intelligence Algorithms Deep Learning Head and Neck Neoplasms Radiotherapy Dosage Humans Organs at Risk Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted
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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...
Proton Therapy Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Deep Learning Image Processing, Computer-Assisted 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 Female Head Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Neck Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Adult Male Middle Aged Aged 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...
Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Artificial Intelligence Head and Neck Neoplasms Papillomaviridae Humans Female Male
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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).
Radiotherapy Dosage Female Radiotherapy, Intensity-Modulated Humans Radiometry Proton Therapy Middle Aged Aged Organs at Risk Male Deep Learning Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms
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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 Artificial Intelligence Biomedical Research Head and Neck Neoplasms Bibliometrics
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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 Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Neoplasm Staging Multiparametric Magnetic Resonance Imaging Neoplasm Recurrence, Local
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