AIMC Topic: Head and Neck Neoplasms

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Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.

International journal of medical informatics Apr 23, 2024
BACKGROUND: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificial intelligence techniques, to...
Head and Neck Neoplasms Humans Artificial Intelligence Precision Medicine Prognosis Radiomics
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In vivo EPID-based daily treatment error identification for volumetric-modulated arc therapy in head and neck cancers with a hierarchical convolutional neural network: a feasibility study.

Physical and engineering sciences in medicine Apr 22, 2024
We proposed a deep learning approach to classify various error types in daily VMAT treatment of head and neck cancer patients based on EPID dosimetry, which could provide additional information to support clinical decisions for adaptive planning. 146...
Humans Neural Networks, Computer Electrical Equipment and Supplies Deep Learning Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Feasibility Studies Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model.

Journal of imaging informatics in medicine Apr 18, 2024
While dual-energy computed tomography (DECT) technology introduces energy-specific information in clinical practice, single-energy CT (SECT) is predominantly used, limiting the number of people who can benefit from DECT. This study proposed a novel m...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Tomography, X-Ray Computed Female Male
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Prospective development study of the Versius Surgical System for use in transoral robotic surgery: an IDEAL stage 1/2a first in human and initial case series experience.

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 Mar 26, 2024
PURPOSE: Transoral robotic surgery is well established in the treatment paradigm of oropharyngeal pathology. The Versius Surgical System (CMR Surgical) is a robotic platform in clinical use in multiple specialities but is currently untested in the he...
Robotics Robotic Surgical Procedures Mouth Prospective Studies Head and Neck Neoplasms Humans
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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

International journal of radiation oncology, biology, physics Mar 10, 2024
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of d...
Head and Neck Neoplasms Support Vector Machine Cluster Analysis Middle Aged Risk Assessment Mandible Radiotherapy Dosage Osteoradionecrosis Mandibular Diseases Unsupervised Machine Learning Organs at Risk Probability Humans Retrospective Studies Female Aged Adult Male
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Artificial intelligence in head and neck surgery: Potential applications and future perspectives.

Journal of surgical oncology Feb 28, 2024
Artificial intelligence (AI) has the potential to improve the surgical treatment of patients with head and neck cancer. AI algorithms can analyse a wide range of data, including images, voice, molecular expression and raw clinical data. In the field ...
Humans Artificial Intelligence Algorithms Prognosis Head and Neck Neoplasms
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Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer.

Journal of computer assisted tomography Feb 27, 2024
OBJECTIVE: The preoperative prediction of the overall survival (OS) status of patients with head and neck cancer (HNC) is significant value for their individualized treatment and prognosis. This study aims to evaluate the impact of adding 3D deep lea...
Nomograms Adult Head and Neck Neoplasms Radiomics Positron Emission Tomography Computed Tomography Retrospective Studies Male Female Middle Aged Aged Humans Deep Learning Imaging, Three-Dimensional Prognosis
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Deep learning for head and neck semi-supervised semantic segmentation.

Physics in medicine and biology Feb 19, 2024
. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer. A crucial phase in RT planning involves the precise delineation of organs-at-risks (OARs), employing computed tomography (CT) scans. Nevertheless, th...
Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Organs at Risk Semantics Humans Tomography, X-Ray Computed
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Predicting reoperation and readmission for head and neck free flap patients using machine learning.

Head & neck Feb 15, 2024
BACKGROUND: To develop machine learning (ML) models predicting unplanned readmission and reoperation among patients undergoing free flap reconstruction for head and neck (HN) surgery.
Machine Learning Adult Databases, Factual Male Retrospective Studies Middle Aged Humans Patient Readmission Female Reoperation Aged Free Tissue Flaps Postoperative Complications Head and Neck Neoplasms Plastic Surgery Procedures
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Synergizing ChatGPT and general AI for enhanced medical diagnostic processes in head and neck imaging.

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 14, 2024
Otorhinolaryngologic Diseases Humans Artificial Intelligence Head and Neck Neoplasms
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