| AI Innovation in Medical Imaging Diagnostics Contributor(s): Anbarasan, Kalaivani (Editor) |
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ISBN: 1799830926 ISBN-13: 9781799830924 Publisher: Medical Information Science Reference OUR PRICE: $361.00 Product Type: Hardcover - Other Formats Published: January 2021 |
| Additional Information |
| BISAC Categories: - Medical | Diagnosis - Medical | Diagnostic Imaging - General - Computers | Intelligence (ai) & Semantics |
| Dewey: 616.075 |
| LCCN: 2019049195 |
| Physical Information: 0.63" H x 7" W x 10" (1.52 lbs) 300 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Recent advancements in the technology of medical imaging, such as CT and MRI scanners, are making it possible to create more detailed 3D and 4D images. These powerful images require vast amounts of digital data to help with the diagnosis of the patient. Artificial intelligence (AI) must play a vital role in supporting with the analysis of this medical imaging data, but it will only be viable as long as healthcare professionals and AI interact to embrace deep thinking platforms such as automation in the identification of diseases in patients. AI Innovation in Medical Imaging Diagnostics is an essential reference source that examines AI applications in medical imaging that can transform hospitals to become more efficient in the management of patient treatment plans through the production of faster imaging and the reduction of radiation dosages through the PET and SPECT imaging modalities. The book also explores how data clusters from these images can be translated into small data packages that can be accessed by healthcare departments to give a real-time insight into patient care and required interventions. Featuring research on topics such as assistive healthcare, cancer detection, and machine learning, this book is ideally designed for healthcare administrators, radiologists, data analysts, computer science professionals, medical imaging specialists, diagnosticians, medical professionals, researchers, and students. |