Guidance on Electromagnetic Compatibility of Medical Devices in Healthcare Facilities

This book offers the first comprehensive coverage of microwave medical imaging, with a special focus on the development of novel devices and methods for different applications in both the diagnosis and treatment of various diseases. Upon introducing the fundamentals of electromagnetic imaging, it guides the readers to their use in practice by providing extensive information on the corresponding measurement and testing techniques. In turn, it discusses current challenges in data processing and analysis, presenting effective, novel solutions, developed by different research groups. It also describes state-of-the-art medical devices, which were designed for specific applications, such as brain stroke monitoring, lymph node diagnosis, image-guided hyperthermia, and chemotherapy response monitoring.

Moritz Göldner analyzes the unexplored phenomenon of patients and caregivers as innovators with respect to their own unmet medical needs in two complementary studies. In study 1 he uses a mixed-method approach to analyze quantitative data from two datasets on more than 1,100 medical smartphone apps each and qualitative data from 16 interviews with developers of medical apps. He finds substantial evidence that patients and caregivers develop medical apps and shows that those apps receive significantly better ratings than company-developed apps.

Moritz Göldner analyzes the unexplored phenomenon of patients and caregivers as innovators with respect to their own unmet medical needs in two complementary studies. In study 1 he uses a mixed-method approach to analyze quantitative data from two datasets on more than 1,100 medical smartphone apps each and qualitative data from 16 interviews with developers of medical apps. He finds substantial evidence that patients and caregivers develop medical apps and shows that those apps receive significantly better ratings than company-developed apps.

Learn why the power of wireless technology (5G, RFID, Wifi, Bluetooth) will transform healthcare

Artificial intelligence (AI) has transformed industries around the world, and has the potential to radically alter the field of healthcare. Imagine being able to analyze data on patient visits to the clinic, medications prescribed, lab tests, and procedures performed, as well as data outside the health system – such as social media, purchases made using credit cards, census records, Internet search activity logs that contain valuable health information, and you’ll get a sense of how AI could transform patient care and diagnoses.

This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis.