Generative Ai Techniques For Sustainability In Healthcare Security
Download Generative Ai Techniques For Sustainability In Healthcare Security PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Ai Techniques For Sustainability In Healthcare Security book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Generative AI Techniques for Sustainability in Healthcare Security
In a world of constant change, sustainability and technology emerge as pivotal elements in healthcare. Generative artificial intelligence (AI) presents the capabilities of more accurate diagnoses, personalized treatment plans, and drug discovery, while certain operations in healthcare, such as managing relationships with healthcare systems often necessitate a human touch, these processes can be augmented by generative AI. Sustainability and health security are becoming increasingly important. The relationship between sustainability and health security is significant, as environmental factors such as air pollution, climate change, and access to green spaces can all affect human health. Generative AI Techniques for Sustainability in Healthcare Security provides a comprehensive understanding of generative AI techniques and their application for sustainability in health security, empowering readers with the knowledge needed to leverage these cutting-edge technologies effectively. Covering topics such as disease detection, drug discovery and development, and sustainability, this book is a valuable resource for scientists, medical professionals, hospital administrators, researchers, technologists, academicians, and more.
Advances in Computational Intelligence for Climate Change Security and Sustainability
Artificial intelligence (AI) contributes to the fight against climate change. Existing AI systems include tools that predict weather, track icebergs, and identify pollution. Sustainability transitions transform major socio-technical systems of provision and use in areas such as energy, water, mobility, and food towards more sustainable ways of production and consumption. This multi-disciplinary field has inputs from economics, science and technology studies, engineering, computer science, business intelligence, and more. Along with sustainability, systems and security have become integral parts of the infrastructure and economies of various countries. Advances in Computational Intelligence for Climate Change Security and Sustainability serves as a source of innovation, exploring complexities of computational intelligence in energy, water, mobility, pollution, predicting weather, environment, and agriculture. It examines sustainable ways of production and consumption while providing a roadmap for overcoming the limitations posed by small sample sizes. Covering topics such as environmental control, solar mirror durability, performance management, this book is an excellent resource for computer scientists, meteorologists, environmentalists, engineers, economists, researchers, academicians, and more.
Utilizing AI of Medical Things for Healthcare Security and Sustainability
The integration of AI and IoT in healthcare, particularly through the Internet of Medical Things (IoMT), is revolutionizing medical care by enhancing efficiency and personalization. These technologies enable more accurate patient monitoring, streamlined healthcare delivery, and customized treatment plans that address individual needs. With the ability to analyze vast amounts of patient data in real-time, AIoMT is improving diagnostics, outcomes, and the overall patient experience. This transformation holds significant potential to reduce healthcare costs, alleviate the burden on traditional systems, and improve overall public health. By fostering smarter healthcare practices, AIoMT is helping to shape a more responsive, efficient, and accessible medical landscape. Utilizing AI of Medical Things for Healthcare Security and Sustainability explores the transformative role of AI and IoMT in modern healthcare. It delves into how AI-driven technologies and smart medical devices are revolutionizing patient care through real-time monitoring, predictive analytics, and personalized treatment plans. Covering topics such as autonomous vehicles, disease prediction, and wearable health technology, this book is an excellent resource for researchers, healthcare professionals, academicians, technologists, and more.