Medical Imaging Informatics Machine Learning, Deep Learning and Big Data Analytics

Medical Imaging Informatics Machine Learning, Deep Learning and Big Data Analytics by Mamoon Rashid, published by the Institution of Engineering and Technology on December 18, 2023, is a comprehensive exploration of the intersection between medical imaging and advanced technologies. This edition, comprising 293 pages, delves into how artificial intelligence, big data analytics, and the Internet of Things are transforming healthcare applications, particularly in diagnostic imaging and internal medicine.
Readers will find a detailed examination of how artificial intelligence techniques enhance traditional human-based systems, improving the accuracy of predictions and diagnoses in medical imaging. The book discusses the development of reliable healthcare models through machine learning and deep learning technologies, emphasizing their potential to address complex challenges in the field. This work serves as a resource for understanding the evolving role of technology in healthcare systems and the future of medical imaging informatics.
Official synopsis Publisher
Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.
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