Digital Healthcare and Artificial Intelligence

Digital technologies are essential to future-proof our health service. With an ageing population and the landscape of the post-pandemic world making increasing demands on an already-stretched human workforce, maximising the potential of a digital future is necessary. This book introduces the concepts and underpinning technology behind recent developments to give a snapshot of the state of the art in the field of digital health and provides information for clinicians at all levels of experience. The reader will gain insight into digital health in general, with clinical, technical and industrial insights providing context to the theory.Key Features Defines the value that Artificial Intelligence (AI) brings to healthcare, resulting in improved clinical diagnosis and decision-making Enables not just imaging staff but other healthcare practitioners to extract the best ways of working with AI using the underpinning knowledge from this text

CLARE RAINEYDr Clare Rainey is a lecturer in the Discipline of Radiography within the School of Medicine in University College Cork, in Ireland. Clare previously held positions in Ulster University including Course Director of the undergraduate Diagnostic Radiography programme and prior to this, in the NHS, where she worked for 11 years as a clinical radiographer. Clare obtained her PhD from Ulster University in Artificial Intelligence for radiographic image interpretation, with focus on the impact of AI on human cognitive processes, including decision making and the impact of user interfaces on trust and automation bias. She has published extensively in well-known, international journals in the fields of AI, human-computer interaction, technology-enabled education and leadership and has contributed to a number of textbooks in the field of AI. Clare supervises master’s and PhD students across a range of topics and disciplines including research into technology use in diverse clinical settings and user interface design. She works with colleagues in medicine, computer science/data analytics and, of course, radiography. Through this she supports and promotes open research principles by mentoring students to publish research and sharing of open access data sets. Clare is Chair of the Society of Radiographers AI Advisory Board and is an Associate Editor of the Journal of Medical Imaging and Radiation Sciences. Clare is driven by a passion for exploring how technology can be used responsibly to reduce health disparities both nationally and globally to secure parity of care for all and is committed to the future visibility of radiographer research in AI and other emerging technologies. SONYIA McFADDENDr Sonyia Mc Fadden is a registered Diagnostic Radiographer and currently a Senior Lecturer in Diagnostic Radiography and Imaging at Ulster University in Northern Ireland. She completed her MSc in 2000 investigating radiation exposure in interventional cardiology and her PhD in 2010 investigating radiation dose optimisation in paediatric interventional cardiology. Sonyia was awarded the International Society of Radiographers and Radiological Technologists Dosewise International Radiographer of the Year (2014), a Fellowship of the College of Radiographers by Portfolio (2016) and a Gold Medal Award from the Society and College of Radiographers (2021). Sonyia previously held the position of Research Director of the Institute of Nursing and Health Research in the Faculty of Life and Health Sciences at Ulster University and is the past Chair of the Society of Radiographers AI Advisory Board in the UK. Currently Sonyia is on the Editorial board of the international journal Cardiovascular Imaging Asia, she has over 20 years clinical experience in general radiography/interventional cardiology and 24 years teaching and research experience in an academic setting. Sonyia has several areas of ongoing research, publishes/presents widely, supervises and assesses PhD stud