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Current issues regarding artificial intelligence in cancer and health care. Implications for medical physicists and biomedical engineers

机译:目前关于癌症和医疗保健人工智能的问题。 对医疗物理学家和生物医学工程师的影响

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摘要

The development of Artificial Intelligence (AI) in healthcare has been a long road with many significant obstacles that at the same time present opportunities for biomedical engineers and medical physicists to assume leadership roles in the implementation of AI in healthcare. International organizations like IOMP, IFMBE and IUPESM must take initiative in addressing the current challenges in AI, particularly in data science including: (1) Big data collection and registries; (2) Data Privacy; (3) Data Input and Standardization of Reporting; (4) What knowledge/data should be recorded and used; (5) Algorithms; (6) Implementation, validation, and quality assurance; (7) Rapidly growing volumes of data; (8) Ethical considerations and many others. This article presents an overview of the current status of AI in cancer and health care and highlights the opportunities it presents for new professional roles of biomedical engineers and medical physicists.
机译:医疗保健人工智能(AI)的发展是一条漫长的道路,具有许多重大障碍,同时为生物医学工程师和医学物理学家呈现出于在医疗保健方面实施领导作用的机会。 IMMBE等国际组织必须主动解决AI的当前挑战,特别是在数据科学中,包括:(1)大数据收集和注册管理机构; (2)数据隐私; (3)报告数据输入和标准化; (4)应记录和使用什么知识/数据; (5)算法; (6)实施,验证和质量保证; (7)快速增长的数据量; (8)道德考虑和许多其他人。 本文概述了癌症和医疗保健中AI的现状,并突出了它为生物医学工程师和医学物理学家新的专业角色提供的机会。

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