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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Last data update: Apr 18, 2024
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Radiation[original query]>>Reviews/Commentaries[Product Type]
Contemporary attitudes and beliefs on coronary artery calcium from social media using artificial intelligence.
Sulaiman Somani et al. NPJ Digit Med 2024 7(1) 83
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Synergizing Expertise and Technology: The Artificial intelligence Revolution in Radiotherapy for Personalized and Precise Cancer Treatment.
Fadila Kouhen et al. Gulf J Oncolog 2024 1(44) 94-102
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The Human Genome Organisation (HUGO) and a vision for Ecogenomics: the Ecological Genome Project.
Benjamin Capps et al. Hum Genomics 2023 17(1) 115
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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Hari Mohan Rai et al. J Cancer Res Clin Oncol 2023
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Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews.
Antti A Mäkitie et al. Adv Ther 2023
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Current and potential applications of artificial intelligence in medical imaging practice: A narrative review.
Jaka Potocnik et al. J Med Imaging Radiat Sci 2023
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Artificial intelligence-supported applications in head and neck cancer radiotherapy treatment planning and dose optimisation.
H Ahervo et al. Radiography (London, England : 1995) 2023 29(3) 496-502
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Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence.
Moore Nicholas S et al. Seminars in radiation oncology 2022 33(1) 70-75
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Predicting tumour radiosensitivity to deliver precision radiotherapy.
Price James M et al. Nature reviews. Clinical oncology 2022
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Prediction of Cancer Treatment using Advancements in Machine Learning.
Singh Arun Kumar et al. Recent patents on anti-cancer drug discovery 2022
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Regulatory Aspects of the Use of Artificial Intelligence Medical Software.
Zanca Federica et al. Seminars in radiation oncology 2022 32(4) 432-441
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Artificial Intelligence in Radiotherapy.
Li Guangqi et al. Seminars in cancer biology 2022
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Machine learning in neuro-oncology: toward novel development fields.
Di Nunno Vincenzo et al. Journal of neuro-oncology 2022
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Xeroderma pigmentosum: an updated review.
Leung Alexander Kc et al. Drugs in context 2022 11
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Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency.
Barragan-Montero Ana Maria et al. Physics in medicine and biology 2022
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Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
Goergen Stacy K et al. Journal of medical imaging and radiation oncology 2022 66(2) 225-232
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Rapid Progress in Intelligent Radiotherapy and Future Implementation.
Chen Guangpeng et al. Cancer investigation 2022 1-17
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Genomically Guided Breast Radiation Therapy: A Review of the Current Data and Future Directions.
Liveringhouse Casey L et al. Advances in radiation oncology 2021 6(4) 100731
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A review of the application of machine learning in molecular imaging.
Yin Lin et al. Annals of translational medicine 2021 9(9) 825
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Deep learning applied to automatic disease detection using chest X-rays.
Moses Daniel A et al. Journal of medical imaging and radiation oncology 2021
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The evolving role of germline genetic testing and management in prostate cancer: Report from the Princess Margaret Cancer Centre International Retreat.
Clark Roderick et al. Canadian Urological Association journal = Journal de l'Association des urologues du Canada 2021
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[Connected bras for breast cancer detection in 2021: Analysis and perspectives.]
Masry Zeina Al et al. Gynecologie, obstetrique, fertilite & senologie 2021
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Ethical, legal and social implications of human genome studies in radiation research: a workshop report for studies on atomic bomb survivors at the Radiation Effects Research Foundation.
Noda Asao et al. Journal of radiation research 2021
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Artificial intelligence in clinical decision support and outcome prediction - applications in stroke.
Yeo Melissa et al. Journal of medical imaging and radiation oncology 2021
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Application and Construction of Deep Learning Networks in Medical Imaging.
Torres-Velázquez Maribel et al. IEEE transactions on radiation and plasma medical sciences 2021 5(2) 137-159
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Machine learning applications in radiation oncology: Current use and needs to support clinical implementation.
Brouwer Charlotte L et al. Physics and imaging in radiation oncology 2020 Oct 16144-148
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The Emergence of Artificial Intelligence within Radiation Oncology Treatment Planning.
Netherton Tucker J et al. Oncology 2020 Dec 1-11
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Deep Learning CT Image Reconstruction in Clinical Practice.
Arndt Clemens et al. RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin 2020 Dec
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The role of artificial intelligence in medical imaging research.
Tang Xiaoli et al. BJR open 2020 2(1) 20190031
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From multisource data to clinical decision aids in radiation oncology: the need for a clinical data science community.
Kazmierska Joanna et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2020 Oct
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 2024
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Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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