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Explainable Artificial Intelligence (XAI) in Healthcare by Utku Kose, ; Nilgun Sengoz, ; Xi Chen & Jose Antonio Marmolejo Saucedo ISBN 9781032543703, 9781032546674, 9781003426073, 1032543701, 1032546670, 1003426077 instant download

  • SKU: EBN-236893084
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Instant download (eBook) Explainable Artificial Intelligence (XAI) in Healthcare after payment.
Authors:Utku Kose, ; Nilgun Sengoz, ; Xi Chen & Jose Antonio Marmolejo Saucedo
Pages:updating ...
Year:2024
Publisher:Routledge
Language:english
File Size:20.1 MB
Format:pdf
ISBNS:9781032543703, 9781032546674, 9781003426073, 1032543701, 1032546670, 1003426077
Categories: Ebooks

Product desciption

Explainable Artificial Intelligence (XAI) in Healthcare by Utku Kose, ; Nilgun Sengoz, ; Xi Chen & Jose Antonio Marmolejo Saucedo ISBN 9781032543703, 9781032546674, 9781003426073, 1032543701, 1032546670, 1003426077 instant download

This book highlights the use of explainable artificial intelligence (XAI) for healthcare problems, in order to improve trustworthiness, performance, and sustainability levels in the context of applications.Explainable Artificial Intelligence (XAI) in Healthcare adopts the understanding that AI solutions should not only have high accuracy performance, but also be transparent, understandable, and reliable from the end user’s perspective. The book discusses the techniques, frameworks, and tools to effectively implement XAI methodologies in critical problems of the healthcare field. The authors offer different types of solutions, evaluation methods, and metrics for XAI and reveal how the concept of explainability finds a response in target problem coverage. The authors examine the use of XAI in disease diagnosis, medical imaging, health tourism, precision medicine, and even drug discovery. They also point out the importance of user perspectives and the value of the data used in target problems. Finally, the authors also ensure a well-defined future perspective for advancing XAI in terms of healthcare.This book will offer great benefits to students at the undergraduate and graduate levels and researchers. The book will also be useful for industry professionals and clinicians who perform critical decision-making tasks.
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