Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention Vol 1
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Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2022-09-09
Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, VOL 1
Author: Information R. . . Management Association
language: en
Publisher: Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention
Release Date: 2022-09-09
"This reference investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging by covering topics such as automatic detection, simulation in medical education, and neural networks"--
IoT, Machine Learning and Data Analytics for Smart Healthcare
Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine. This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare. For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease. In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students