Bian Yang – författare

Smart mobile systems, such as microsystems, smart textiles, smart implants, and sensor-controlled medical devices, together with innovative sensor and actuator techniques and related networks, have become important enablers for telemedicine and a new generation of health services. Social media and gamification have added even more knowledge to pHealth as an ecosystem.This book presents the proceedings of pHealth 2018. Held in Gjøvik, Norway, in June 2018, this is the 15th in a series of scientific conferences which have brought together expertise from medical, technological, political, administrative, and social domains, and even from philosophy or linguistics. Initiated in 2003 as part of a European project, the scope of these conferences now encompasses technological and biomedical facilities, legal, ethical, social, and organizational requirements and impacts, as well as necessary basic research for enabling future-proof care paradigms. The conferences thereby combine medical services with public health, preventive medicine, social and elderly care, wellness and personal fitness to establish participatory, predictive, personalized, preventive, and effective care settings.The book includes 1 of the 2 keynotes presented at the conference, 4 invited talks, 16 oral presentations, and 7 short poster presentations. All submissions were carefully and critically reviewed by at least two independent experts, and this selective review process resulted in a full papers rejection rate of 50%.

Personalized health technologies offer many benefits. Smart mobile systems, textiles and implants and sensor-controlled medical devices have become important enablers for telemedicine and ubiquitous pervasive health as the next-generation health services, while social media and gamification have added another dimension to pHealth as an eco-system. This book presents the proceedings of pHealth 2022, the 19th in the conference series, held as a hybrid event in Oslo, Norway, from 8 – 10 November 2022. The pHealth 2022 conference attracted experts from many scientific domains and brought together health-service vendor and provider institutions, payer organizations, government departments, academic institutions, professional bodies, and patients and citizen representatives. Topics covered include mobile technologies, micro-nano-bio smart systems, bio-data management and analytics, machine learning, artificial intelligence and robotics for personalized health, the Health Internet of Things (HIoT), systems medicine, public health and virtual care. The book includes 2 keynote papers, 10 invited papers, 20 full papers, and 4 poster papers by 113 authors from 23 countries. All submissions were carefully and critically reviewed by at least two independent experts from a country other than the author’s home country, and additionally by at least one member of the Scientific Program Committee, guaranteeing a high scientific level of the accepted and ultimately published papers. Exploring the enormous potential of pHealth for improvements in medical quality and also for the management of healthcare costs and the provision of a better patient experience, the book will be of interest to all those involved in the development and provision of healthcare.

“Artificial Intelligence (AI) in Healthcare Information Systems: Security and Privacy Challenges” offers a deep dive into the integration of AI in healthcare, with a primary focus on addressing the significant security and privacy concerns that arise in this domain. The chapters in this book highlight the transformative potential of AI in diagnosing and predicting diseases, as well as its impact on fields like fetal medicine, but places special emphasis on the need for robust encryption, data protection techniques, and ethical considerations to safeguard sensitive healthcare data. The book also explores global case studies, from India to Kazakhstan, outlining the challenges and prospects of AI adoption in diverse healthcare settings. Readers will gain insights into AI's role in improving patient outcomes while navigating the complexities of data privacy and security. The book is a valuable resource for healthcare professionals, technologists, and policymakers who are focused on implementing AI-driven solutions securely and ethically in healthcare systems.