This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"Nuclear Medicine Research Scientometric Mapping" by N. Rathika is an in-depth exploration of the field of nuclear medicine and the latest advancements in research using scientometric mapping. This book covers various topics, including radiopharmaceuticals, positron emission tomography (PET), single-photon emission computed tomography (SPECT), molecular imaging, radioisotopes, cancer, thyroid, neuroimaging, cardiovascular, theranostics, PET/CT, SPECT/CT, image reconstruction, dosimetry, radiation safety, radiobiology, radiopharmacy, targeted therapy, biomarkers, pharmacokinetics, radiomics, artificial intelligence, machine learning, deep learning, big data, medical physics, nuclear medicine technologists, patient care, quality control, clinical trials, evidence-based practice, health economics, regulatory affairs, intellectual property, open access, bibliometrics, H-index, impact factor, citation analysis, research collaboration, scientific writing, and publication ethics.The book provides a comprehensive overview of the latest research in the field of nuclear medicine, with a particular focus on scientometric mapping. It explores the use of scientometric techniques to analyze and visualize the research landscape in nuclear medicine, including the identification of key trends, hot topics, and emerging research areas. The book also covers the use of various imaging techniques, including PET and SPECT, in the diagnosis and treatment of various diseases such as cancer, thyroid, and cardiovascular diseases.The book provides a detailed discussion of various aspects of nuclear medicine research, including quality control, clinical trials, evidence-based practice, health economics, regulatory affairs, intellectual property, open access, bibliometrics, H-index, impact factor, citation analysis, research collaboration, scientific writing, and publication ethics. It also provides insights into the use of artificial intelligence, machine learning, and deep learning in nuclear medicine research and their potential applications.Overall, "Nuclear Medicine Research Scientometric Mapping" is an essential read for researchers, practitioners, and students in the field of nuclear medicine and related disciplines who are interested in the latest advancements and trends in the field.
