BOOKS - Explainable AI in Health Informatics
Explainable AI in Health Informatics - Rajanikanth Aluvalu, Mayuri Mehta, Patrick Siarry 2024 PDF | EPUB Springer BOOKS
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Explainable AI in Health Informatics
Author: Rajanikanth Aluvalu, Mayuri Mehta, Patrick Siarry
Year: 2024
Pages: 287
Format: PDF | EPUB
File size: 38.9 MB
Language: ENG



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Explainable AI in Health Informatics: The Need for Understanding Technology Evolution Artificial intelligence (AI) has revolutionized health informatics, transforming how we diagnose, treat, and prevent diseases. However, the rapid development of AI technology can be overwhelming, making it difficult to comprehend its impact on our lives. Explainable AI in Health Informatics delves into the importance of understanding the evolution of technology to ensure that AI is used ethically and responsibly in healthcare. This book explores the need for a personal paradigm to help us navigate the complexities of technological advancements and their implications for humanity's survival. The book begins by examining the history of AI in health informatics, highlighting its progression from rule-based systems to deep learning algorithms. It discusses the challenges associated with these developments, such as bias and discrimination, and how they can be addressed through explainability techniques. The author emphasizes the significance of understanding the technological process to make informed decisions about AI implementation in healthcare. The Importance of Developing a Personal Paradigm The author argues that developing a personal paradigm for perceiving technological advancements is crucial for navigating the rapidly evolving world of AI. This involves recognizing the interconnectedness of technological, social, and economic factors shaping our lives. By doing so, we can better understand how AI affects society and make more informed decisions about its use in healthcare. The book encourages readers to adopt a multidisciplinary approach to studying technology, combining insights from various fields to gain a comprehensive understanding of its impact.
Объяснимый ИИ в информатике здравоохранения: Необходимость понимания эволюции технологий Искусственный интеллект (ИИ) произвел революцию в информатике здравоохранения, изменив методы диагностики, лечения и профилактики заболеваний. Однако быстрое развитие технологий ИИ может быть подавляющим, что затрудняет понимание их влияния на нашу жизнь. Объяснимый ИИ в информатике здравоохранения углубляется в важность понимания эволюции технологий, чтобы гарантировать, что ИИ используется этически и ответственно в здравоохранении. Эта книга исследует необходимость личной парадигмы, которая поможет нам ориентироваться в сложностях технологических достижений и их последствиях для выживания человечества. Книга начинается с изучения истории ИИ в информатике здравоохранения, подчеркивая его переход от систем, основанных на правилах, к алгоритмам глубокого обучения. В нем обсуждаются проблемы, связанные с этими событиями, такие как предвзятость и дискриминация, и как их можно решить с помощью методов объяснения. Автор подчеркивает важность понимания технологического процесса для принятия обоснованных решений о внедрении ИИ в здравоохранении. Важность разработки личной парадигмы Автор утверждает, что разработка личной парадигмы для восприятия технологических достижений имеет решающее значение для навигации в быстро развивающемся мире ИИ. Это предполагает признание взаимосвязанности технологических, социальных и экономических факторов, формирующих нашу жизнь. Тем самым мы сможем лучше понять, как ИИ влияет на общество, и принимать более обоснованные решения о его использовании в здравоохранении. Книга призывает читателей принять междисциплинарный подход к изучению технологий, объединяя идеи из различных областей, чтобы получить всестороннее понимание их воздействия.
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