AI Medical Compendium Journal:
International journal of radiation oncology, biology, physics

Showing 11 to 20 of 93 articles

Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

International journal of radiation oncology, biology, physics Sep 20, 2024
PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and a...
Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Male Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Linear Energy Transfer Prostatic Neoplasms Rectum Workflow Feasibility Studies
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Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer.

International journal of radiation oncology, biology, physics Aug 13, 2024
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland ...
Radiotherapy Dosage Radiation Injuries Salivary Glands Xerostomia Aged Aged, 80 and over Adult Male Head and Neck Neoplasms Organs at Risk Probability Middle Aged Deep Learning Humans Tomography, X-Ray Computed Female
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Personalized Composite Dosimetric Score-Based Machine Learning Model of Severe Radiation-Induced Lymphopenia Among Patients With Esophageal Cancer.

International journal of radiation oncology, biology, physics May 24, 2024
PURPOSE: Radiation-induced lymphopenia (RIL) is common among patients undergoing radiation therapy (RT)' Severe RIL has been linked to adverse outcomes. The severity and risk of RIL can be predicted from baseline clinical characteristics and dosimetr...
Logistic Models Esophageal Neoplasms Organs at Risk Spleen Radiotherapy Dosage Adult Male Middle Aged Lung Radiation Injuries Lymphopenia Humans Female Aged Aged, 80 and over Machine Learning Precision Medicine
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Enhancing Precision in Cardiac Segmentation for Magnetic Resonance-Guided Radiation Therapy Through Deep Learning.

International journal of radiation oncology, biology, physics May 24, 2024
PURPOSE: Cardiac substructure dose metrics are more strongly linked to late cardiac morbidities than to whole-heart metrics. Magnetic resonance (MR)-guided radiation therapy (MRgRT) enables substructure visualization during daily localization, allowi...
Male Deep Learning Thoracic Neoplasms Magnetic Resonance Imaging Heart Humans Retrospective Studies Radiotherapy, Image-Guided Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Abdominal Neoplasms
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Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis Stereotactic Radiosurgery Outcome Prediction.

International journal of radiation oncology, biology, physics Apr 12, 2024
PURPOSE: To develop a novel deep ensemble learning model for accurate prediction of brain metastasis (BM) local control outcomes after stereotactic radiosurgery (SRS).
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Middle Aged Deep Learning Humans Treatment Outcome Female Magnetic Resonance Imaging Aged Brain Neoplasms Male
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Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy - A Proof of Concept.

International journal of radiation oncology, biology, physics Mar 28, 2024
PURPOSE: The dose deposited outside of the treatment field during external photon beam radiation therapy treatment, also known as out-of-field dose, is the subject of extensive study as it may be associated with a higher risk of developing a second c...
Monte Carlo Method Humans Radiotherapy Planning, Computer-Assisted Deep Learning Photons Proof of Concept Study Child Radiotherapy Dosage
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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...
Radiotherapy Dosage Osteoradionecrosis Mandibular Diseases Female Aged Adult Male Humans Retrospective Studies Middle Aged Unsupervised Machine Learning Support Vector Machine Risk Assessment Organs at Risk Cluster Analysis Mandible Probability Head and Neck Neoplasms
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Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study.

International journal of radiation oncology, biology, physics Mar 2, 2024
PURPOSE: To develop and externally validate an automatic artificial intelligence (AI) tool for delineating gross tumor volume (GTV) in patients with esophageal squamous cell carcinoma (ESCC), which can assist in neo-adjuvant or radical radiation ther...
Adult Male Middle Aged Deep Learning Radiotherapy Planning, Computer-Assisted Tumor Burden Esophageal Squamous Cell Carcinoma Contrast Media Esophageal Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Humans Aged
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A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain.

International journal of radiation oncology, biology, physics Mar 1, 2024
PURPOSE: The capacity for machine learning (ML) to facilitate radiation therapy (RT) planning for primary brain tumors has not been described. We evaluated ML-assisted RT planning with regard to clinical acceptability, dosimetric outcomes, and planni...
Middle Aged Adolescent Child, Preschool Child Radiotherapy Dosage Dose Fractionation, Radiation Organs at Risk Radiotherapy Planning, Computer-Assisted Aged Young Adult Adult Brain Neoplasms Male Humans Machine Learning Prospective Studies Female
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Experience of Implementing Deep Learning-Based Automatic Contouring in Breast Radiation Therapy Planning: Insights From Over 2000 Cases.

International journal of radiation oncology, biology, physics Feb 29, 2024
PURPOSE: This study evaluated the impact and clinical utility of an auto-contouring system for radiation therapy treatments.
Radiotherapy Planning, Computer-Assisted Deep Learning Automation Heart Breast Humans Radiotherapy, Adjuvant Organs at Risk Retrospective Studies Female Breast Neoplasms
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