Название: Generative Artificial Intelligence for Biomedical and Smart Health Informatics
Автор: Aditya Khamparia, Deepak Gupta
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 700
Язык: английский
Формат: pdf (true)
Размер: 19.9 MB

Enables readers to understand the future of medical applications with generative AI and related applicationsGenerative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on Deep Learning and Machine Learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data.

The book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context. The book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices.

The integration of advanced Generative Artificial Intelligence (GenAI) models—Generative Adversarial Networks (GANs), Transformers, and Variational Autoencoders (VAEs)—with wearable technology marks a revolutionary leap at the crossroads of personal computing and healthcare. This fusion is not merely evolutionary, but it represents a transformative shift toward crafting systems that are more personalized, adaptive, and intelligent, poised to redefine our daily lives, health management, and interaction with technology. As we navigate this transformative era, it is crucial to delve into the unique capabilities of GANs, Transformers, and VAEs, which stand at the forefront of AI research and application. These models excel in generating new content, ideas, or data patterns that closely mimic human creativity and understanding. From enhancing image quality and creating realistic simulations for health training to offering real-time language translation and personalized health insights, these AI models are pushing the boundaries of what machines can achieve.

Topics covered include:
Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders
Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems
Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring
Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making

Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference for Computer Science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of Artificial Intelligence and other related technologies in healthcare.