AIMC Topic: Radiation Oncology
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Overlooked pitfalls in multi-class machine learning classification in radiation oncology and how to avoid them.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jan 25, 2020
In radiation oncology, Machine Learning classification publications are typically related to two outcome classes, e.g. the presence or absence of distant metastasis. However, multi-class classification problems also have great clinical relevance, e.g...
Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Jan 6, 2020
PURPOSE: We introduced and evaluated an end-to-end organs-at-risk (OARs) segmentation model that can provide accurate and consistent OARs segmentation results in much less time.
[Basis and perspectives of artificial intelligence in radiation therapy].
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Oct 20, 2019
Artificial intelligence is a highly polysemic term. In computer science, with the objective of being able to solve totally new problems in new contexts, artificial intelligence includes connectionism (neural networks) for learning and logics for reas...
Artificial Intelligence and the Medical Radiation Profession: How Our Advocacy Must Inform Future Practice.
Journal of medical imaging and radiation sciences
Oct 11, 2019
There is no escaping the fact that academics are devoting unrelenting attention to the impact artificial intelligence will have on health care. Radiological and radiation oncology organizations worldwide are devoting their time and resources to ensur...
Application of artificial intelligence (AI) in Radiotherapy workflow: Paradigm shift in Precision Radiotherapy using Machine Learning.
The British journal of radiology
Sep 20, 2019
Artificial Intelligence in Radiation Oncology.
Hematology/oncology clinics of North America
Sep 11, 2019
The integration of artificial intelligence in the radiation oncologist's workflow has multiple applications and significant potential. From the initial patient encounter, artificial intelligence may aid in pretreatment disease outcome and toxicity pr...
Clinical Documentation and Patient Care Using Artificial Intelligence in Radiation Oncology.
Journal of the American College of Radiology : JACR
Jun 22, 2019
Detailed clinical documentation is required in the patient-facing specialty of radiation oncology. The burden of clinical documentation has increased significantly with the introduction of electronic health records and participation in payer-mandated...
Applications and limitations of machine learning in radiation oncology.
The British journal of radiology
Jun 5, 2019
Machine learning approaches to problem-solving are growing rapidly within healthcare, and radiation oncology is no exception. With the burgeoning interest in machine learning comes the significant risk of misaligned expectations as to what it can and...
Artificial Intelligence in Radiation Oncology Imaging.
International journal of radiation oncology, biology, physics
Oct 18, 2018
Machine learning and modeling: Data, validation, communication challenges.
Medical physics
Aug 24, 2018
With the era of big data, the utilization of machine learning algorithms in radiation oncology is rapidly growing with applications including: treatment response modeling, treatment planning, contouring, organ segmentation, image-guidance, motion tra...
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