AIMC Topic: Radiation Oncology

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The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques.

Medical physics Aug 24, 2018
PURPOSE: Personalized medicine is expected to yield improved health outcomes. Data mining over massive volumes of patients' clinical data is an appealing, low-cost and noninvasive approach toward personalization. Machine learning algorithms could be ...
Semantic Web Rectal Neoplasms Biological Ontologies Clinical Trials as Topic Humans Radiation Oncology Publications
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Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 12, 2018
Artificial intelligence (AI) is emerging as a technology with the power to transform established industries, and with applications from automated manufacturing to advertising and facial recognition to fully autonomous transportation. Advances in each...
Humans Artificial Intelligence Machine Learning Radiation Oncology Patient Care Quality Assurance, Health Care Radiotherapy Dosage Forecasting Decision Support Techniques Radiology
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The Future of Artificial Intelligence in Radiation Oncology.

International journal of radiation oncology, biology, physics Jun 6, 2018
Artificial Intelligence Forecasting Radiation Oncology
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Using Big Data Analytics to Advance Precision Radiation Oncology.

International journal of radiation oncology, biology, physics Mar 2, 2018
Big clinical data analytics as a primary component of precision medicine is discussed, identifying where these emerging tools fit in the spectrum of genomics and radiomics research. A learning health system (LHS) is conceptualized that uses clinicall...
Decision Support Systems, Clinical Genomics Models, Statistical Radiation Oncology Data Mining Precision Medicine Radiotherapy Neoplasms Big Data Humans Machine Learning
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Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology.

PloS one Jan 19, 2018
PURPOSE: Leveraging Electronic Health Records (EHR) and Oncology Information Systems (OIS) has great potential to generate hypotheses for cancer treatment, since they directly provide medical data on a large scale. In order to gather a significant am...
Paris Radiation Oncology Software Systems Integration Radiotherapy Planning, Computer-Assisted Electronic Health Records Biological Ontologies Humans Neoplasms Information Storage and Retrieval Models, Anatomic Information Systems
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[Artificial intelligence applied to radiation oncology].

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Apr 20, 2017
Performing randomised comparative clinical trials in radiation oncology remains a challenge when new treatment modalities become available. One of the most recent examples is the lack of phase III trials demonstrating the superiority of intensity-mod...
Humans Artificial Intelligence Radiation Oncology Radiotherapy
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Big Data and machine learning in radiation oncology: State of the art and future prospects.

Cancer letters May 27, 2016
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncology, through the use of CT Scan, dosimetry and imaging performed before each fraction, have generated a considerable flow of data that needs to be int...
Data Mining Radiotherapy Planning, Computer-Assisted Radiation Dosage Humans Radiotherapy Unsupervised Machine Learning Databases, Factual Neural Networks, Computer Risk Assessment Risk Factors Machine Learning Data Interpretation, Statistical Electronic Health Records Biomedical Research Neoplasms Radiation Oncology Decision Support Techniques Support Vector Machine
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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics Nov 11, 2015
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Radiation Pneumonitis Lung Neoplasms Support Vector Machine Humans Machine Learning Logistic Models Models, Statistical Neural Networks, Computer Xerostomia Radiotherapy Dosage Prognosis Radiation Oncology Treatment Outcome Artificial Intelligence Radiotherapy Reproducibility of Results Esophagitis
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Radiation oncology patients' perceptions of artificial intelligence and machine learning in cancer care: A multi-centre cross-sectional study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jun 1, 2025
AIM: The use of artificial intelligence (AI) and machine learning (ML) is increasingly widespread in radiation oncology. However, patient engagement to date has been poor. Respect for persons in the healthcare setting and the principle of informed co...
Female Aged Adult Humans Artificial Intelligence Neoplasms Machine Learning Surveys and Questionnaires Australia Cross-Sectional Studies Radiation Oncology Male Middle Aged
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Deep learning for automated segmentation in radiotherapy: a narrative review.

The British journal of radiology Jan 23, 2024
The segmentation of organs and structures is a critical component of radiation therapy planning, with manual segmentation being a laborious and time-consuming task. Interobserver variability can also impact the outcomes of radiation therapy. Deep neu...
Humans Brain Benchmarking Head Deep Learning Radiation Oncology
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