AIMC Topic: Radiation Oncology
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Clinical implementation of deep-learning based auto-contouring tools-Experience of three French radiotherapy centers.
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Aug 11, 2021
Deep-learning (DL)-based auto-contouring solutions have recently been proposed as a convincing alternative to decrease workload of target volumes and organs-at-risk (OAR) delineation in radiotherapy planning and improve inter-observer consistency. Ho...
[Artificial intelligence, radiomics and pathomics to predict response and survival of patients treated with radiations].
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Jul 17, 2021
Artificial intelligence approaches in medicine are more and more used and are extremely promising due to the growing number of data produced and the variety of data they allow to exploit. Thus, the computational analysis of medical images in particul...
Moving Forward in the Next Decade: Radiation Oncology Sciences for Patient-Centered Cancer Care.
JNCI cancer spectrum
May 17, 2021
In a time of rapid advances in science and technology, the opportunities for radiation oncology are undergoing transformational change. The linkage between and understanding of the physical dose and induced biological perturbations are opening entire...
Neoplasms
Big Data
Radiation Oncology
Humans
Artificial Intelligence
Research
Clinical Trials as Topic
Radiotherapy
Hyperthermia, Induced
Patient-Centered Care
Radiopharmaceuticals
Photochemotherapy
Neutron Capture Therapy
Relative Biological Effectiveness
Radiation Tolerance
Radiobiology
Research Support as Topic
Improving the therapeutic ratio of radiotherapy against radioresistant cancers: Leveraging on novel artificial intelligence-based approaches for drug combination discovery.
Cancer letters
Apr 29, 2021
Despite numerous advances in cancer radiotherapy, tumor radioresistance remain one of the major challenges limiting treatment efficacy of radiotherapy. Conventional strategies to overcome radioresistance involve understanding the underpinning molecul...
Artificial intelligence in brachytherapy: a summary of recent developments.
The British journal of radiology
Apr 29, 2021
Artificial intelligence (AI) applications, in the form of machine learning and deep learning, are being incorporated into practice in various aspects of medicine, including radiation oncology. Ample evidence from recent publications explores its util...
AAPM Task Group 264: The safe clinical implementation of MLC tracking in radiotherapy.
Medical physics
Mar 23, 2021
The era of real-time radiotherapy is upon us. Robotic and gimbaled linac tracking are clinically established technologies with the clinical realization of couch tracking in development. Multileaf collimators (MLCs) are a standard equipment for most c...
Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer.
International journal of radiation oncology, biology, physics
Feb 3, 2021
Natural language processing (NLP), which aims to convert human language into expressions that can be analyzed by computers, is one of the most rapidly developing and widely used technologies in the field of artificial intelligence. Natural language p...
Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology - national survey.
Journal of medical imaging and radiation sciences
Dec 13, 2020
BACKGROUND: Artificial Intelligence (AI) is making a continuous progression into the field of Radiation Oncology in Canada and globally. While this field continues to evolve, there is no clear understanding about how radiation oncologists, radiation ...
Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.
Asian Pacific journal of cancer prevention : APJCP
Nov 1, 2020
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is responsible for the most deaths amongst children. Due to major improvements in the treatment protocols in the 50-years period, the survivability of thi...
Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Sep 10, 2020
Artificial Intelligence (AI) is currently being introduced into different domains, including medicine. Specifically in radiation oncology, machine learning models allow automation and optimization of the workflow. A lack of knowledge and interpretati...
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