AIMC Topic: 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...
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...
[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...
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
Humans
Radiotherapy Planning, Computer-Assisted
Radiation Dosage
Unsupervised Machine Learning
Radiotherapy
Neural Networks, Computer
Databases, Factual
Risk Assessment
Risk Factors
Machine Learning
Data Interpretation, Statistical
Electronic Health Records
Neoplasms
Radiation Oncology
Biomedical Research
Decision Support Techniques
Support Vector Machine
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 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...
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...
Computational Modeling and AI in Radiation Neuro-Oncology and Radiosurgery.
Advances in experimental medicine and biology
Jan 1, 2024
The chapter explores the extensive integration of artificial intelligence (AI) in healthcare systems, with a specific focus on its application in stereotactic radiosurgery. The rapid evolution of AI technology has led to promising developments in thi...
First, do no harm. Ethical and legal issues of artificial intelligence and machine learning in veterinary radiology and radiation oncology.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Dec 1, 2022
Artificial Intelligence and machine learning are novel technologies that will change the way veterinary medicine is practiced. Exactly how this change will occur is yet to be determined, and, as is the nature with disruptive technologies, will be dif...
Using Artificial Intelligence for Optimization of the Processes and Resource Utilization in Radiotherapy.
JCO global oncology
Nov 1, 2022
The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex operation involving numerous levels of human-machine interaction and requiring high precision. These steps are labor-intensive and time-consuming and require me...
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