{"product_id":"explainable-ai-in-healthcare-unboxing-machine-learning-for-biomedicine-paperback","title":"Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMehul S. Raval\u003c\/b\u003e (Editor), \u003cb\u003eMohendra Roy\u003c\/b\u003e (Editor), \u003cb\u003eTolga Kaya\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. \u003cstrong\u003eExplainable AI in Healthcare: Unboxing Machine Learning for Biomedicine\u003c\/strong\u003e intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.\u003c\/p\u003e\u003cp\u003eThis book will benefit readers in the following ways: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eExplores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eInvestigates bridges between computer scientists and physicians being built with XAI\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eFocuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eInitiates discussions on human-AI relationships in health care\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eUnites learning for privacy preservation in health care\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMehul S Raval, Associate Dean - Experiential Learning and Professor, School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, India\u003c\/p\u003e \u003cp\u003eMohendra Roy, Assistant Professor, Information and Communication Technology Department, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India\u003c\/p\u003e \u003cp\u003eTolga Kaya, Professor and Director of Engineering Programs, Sacred Heart University, Fairfield, CT, USA\u003c\/p\u003e \u003cp\u003eRupal Kapdi, Assistant Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 304\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.69 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 14, 2025\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51891079905568,"sku":"9781032367125","price":115.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/OO2wWUUngW9781032367125.webp?v=1781958289","url":"https:\/\/ebocreations.com\/products\/explainable-ai-in-healthcare-unboxing-machine-learning-for-biomedicine-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}