Explainable responsible artificial intelligence (29 résultats)

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Paperback. Etat : new. Paperback. Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. 2025. 1st Edition. hardcover. . . . . .

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Etat : New. Gives insights into the responsible and explainable use of Artificial Intelligence in healthcare and explore the challenges and opportunities for promoting ethical and transparent practices in this fieldOffers the solution to strike a balan.

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Paperback. Etat : Brand New. 320 pages. 9.25x7.50x0.67 inches. In Stock.

Buch. Etat : Neu. Neuware - This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes. This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes. Readers will find the book: - explains recent XAI and RAI breakthroughs in the healthcare system;- discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis;- covers the latest developments and applications of XAI and RAI-based disease management applications; - demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future. Audience The main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.…

Etat : New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Paperback. Etat : new. Paperback. Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a unique entanglement of theory, examples and processes relevant to Responsible Machine Learning. You will find intuitions and examples for Interpretable Machine Learning (IML) and eXplainable Artificial Intelligence (XAI). Descriptions are supplemented by code snippets with examples for R with the use of randomForest, mlr3 and DALEX packages. Finally, the process is shown through a comic book describing the adventures of two characters, Beta and Bit. The interaction of these two shows the decisions that analysts often face, whether to try a different model, try another technique for exploration or look for other data -- questions like how to compare models or validate them.All examples are fully reproducible so that one can replay all adventures on a local desktop.Model development is a responsible and challenging task but also an exciting adventure. Sometimes textbooks focus only on the technical side, losing all the fun. Here we are going to have it all.…

Taschenbuch. Etat : Neu. The Hitchhiker's Guide to Responsible Machine Learning | Interpretable and eXplainable Artificial Intelligence with examples in R | Przemys¿aw Biecek (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Scientific Foundation [.] | EAN 9788365291127 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…