智能医学影像诊断和治疗计划

English | 2024 | ISBN: 9781003464884 | 259 pages | True PDF | 6.59 MB

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book

• Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;

• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;

• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;

• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;

• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;

• Encompasses the ethical and legal challenges of using smart healthcare and medical data.

This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

这本书介绍了智能健康技术的高级研究，重点在于使用数据科学分析的数据和医学成像进行诊断与治疗规划的创新性转变。它展示了智能健康技术如何借助人工智能（AI）和大数据分析来提供更准确且高效的诊断与治疗规划。书中在寻找适用于健康技术和医疗数据处理的创新性和新颖的方法和技术方面， • 讨论了人工智能、数据科学、机器学习、深度学习、物联网、大数据和云计算的应用； • 包含电子病历在医疗卫生中的应用，以及智能健康医疗中电子病历和电子病历数据分析的大数据可靠性与挑战； • 探索智能健康技术的演变技巧，在治疗规划领域中的医学成像及预测的应用； • 提供了基于人工智能驱动的医疗科技与医学成像的最新研究，以展示智能健康技术的视角； • 讨论大数据在智能健康中的角色，医疗诊断和治疗规划计算技术； • 包括使用智能健康技术和医疗数据所面临的伦理和法律挑战。 这本书对从事智能健康技术的研究人员来说是宝贵的参考书。医学成像、人工智能以及数据科学领域的研究人员与医疗卫生领域的工作都将发现其是一个很好的资源。

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