{"product_id":"explainable-artificial-intelligence-in-the-healthcare-industry-hardback-9781394249268","title":"Explainable Artificial Intelligence in the Healthcare Industry (Hardback) 9781394249268","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eExplainable Artificial Intelligence in the Healthcare Industry\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAbhishek Kumar (Edited by), Kumar (Author), T. Ananth Kumar (Edited by), Prasenjit Das (Edited by), Chetan Sharma (Edited by), Ashutosh Kumar Dubey (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394249268, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e704 pages\u003cbr\u003e22.9 x 15.2 x 4 cm, 1.134 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eDiscover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with \u003ci\u003eExplainable AI in the Healthcare Industry\u003c\/i\u003e, a must-have resource.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eExplainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eExplainable AI in the Healthcare Industry\u003c\/i\u003e presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxix\u003c\/p\u003e \u003cp\u003e1 A Review on Explainable Artificial Intelligence for Healthcare 1\u003cbr\u003e \u003ci\u003eRakhi Chauhan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Explainable Artificial Intelligence (XAI) in Healthcare: Fostering Transparency, Accountability, and Responsible AI Deployment 17\u003cbr\u003e \u003ci\u003eAsha S. Manek, Shruti Vashist, Geeta Tripathi and Savita Sindhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Illuminating the Diagnostic Path: Unveiling Explainability in Medical Imaging 39\u003cbr\u003e \u003ci\u003eSivanantham S., Anwar Basha H., Thanuja K., Shafiya Banu M., Maithili K. and AnilKumar Ambore\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 HealsHealthAI: Unveiling Personalized Healthcare Insights with Open Source Fine-Tuned LLM 67\u003cbr\u003e \u003ci\u003eLavan J. V. and Lakshmi Sangeetha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Introduction to Explainable AI in EEG Signal Processing: A Review 79\u003cbr\u003e \u003ci\u003eParag Puranik and Rahul Pethe\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare 105\u003cbr\u003e \u003ci\u003eInam Ul Haq, Adil Husain Rather, Syed Zoofa Rufai, Ahmad Shah, Sheetal and Akib Mohi Ud Din Khanday\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Transparency in Text: Unraveling Explainability in Healthcare Natural Language Processing 131\u003cbr\u003e \u003ci\u003eMadhan Veeramani, Karthick P., S. Venkateswaran, Sriman B., Shaik Thasleem Bhanu and V. Seedha Devi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Introduction to Explainable AI in Healthcare: Enhancing Transparency and Trust 161\u003cbr\u003e \u003ci\u003eKarthik Srinivasan, Chaithanya Kumar Viralam Ramamurthy, Saravanan Matheswaran and Shermin Shamsudheen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Interpretable Machine Learning Techniques 185\u003cbr\u003e \u003ci\u003eV. Kavitha, K. Suresh, G. Priyadharshini, Shaik Rasheeda Begum and R. Vidhya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Interpretable Machine Learning Techniques in AI 209\u003cbr\u003e \u003ci\u003eShavez, Poornima, Kanu Goyal, Shweta Sharma and Parul Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Interpretable Machine Learning Techniques in Medical System—The Role of Data Analytics and Machine Learning 233\u003cbr\u003e \u003ci\u003eVenkataraman P., Sunantha D. and Lakshmi S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Interpretable AI: Shedding Light on Medical Image Analysis Using Machine Learning Techniques 257\u003cbr\u003e \u003ci\u003eS. Bashyam, P. Supraja and Prithiviraj Rajalingam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Exploring the Role of Explainable AI in Women’s Health: Challenges and Solutions 283\u003cbr\u003e \u003ci\u003eInam Ul Haq and Akib Mohi Ud Din Khanday\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Explainable AI in Healthcare: Introduction 307\u003cbr\u003e \u003ci\u003eAmandeep Kaur and Sonali Goyal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Ethical Implications of Emotion Recognition Technology in Mental Healthcare: Navigating Privacy, Bias, and Therapeutic Boundaries 325\u003cbr\u003e \u003ci\u003eR. Ravi, V. Jeya Ramya, B. Prameela Rani, Srikanth Nalluri and M. Jenath\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Bridging the Gap: Clinical Adoption and User Perspectives of Explainable AI in Healthcare 349\u003cbr\u003e \u003ci\u003eShaik Masood Ahamed and J. Jabez\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Application of AI-Based Technologies in the Healthcare Sector: Opportunities, Challenges, and Its Impact—Review 375\u003cbr\u003e \u003ci\u003eG. Jegadeeswari and B. Kirubadurai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real-Time Applications 393\u003cbr\u003e \u003ci\u003eA. Pandian, V. V. Ramalingam, J. Venkata Subramanian, K. Pradeep Mohan Kumar and S. Padmini\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 Future Research Directions: Explainable Artificial Intelligence in Healthcare Industry 423\u003cbr\u003e \u003ci\u003eShamneesh Sharma, Neha Kumra, Meghna Luthra, Vikas Verma and Komal Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 Real-World Applications of Explainable AI in Healthcare 451\u003cbr\u003e \u003ci\u003eUrvi, Parul Sharma, Kanu Goyal and Shweta Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction: A New Era in Healthcare 467\u003cbr\u003e \u003ci\u003eKomal, Ganesh K. Sethi, Shamneesh Sharma and Rajender Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 Understanding Explainability in Medical Imaging 493\u003cbr\u003e \u003ci\u003eAnnie Silviya S. H., R. Tamizh Kuzhali, Akshaya V., Lakshmi Prabha T. S., Immanuvel Arokia James K. and B. Sriman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation 521\u003cbr\u003e \u003ci\u003eUma Maheswari Kalia Moorthy, Asthampatti Marimuthu Jayapalan Muthukumaran, Vijayalakshmi Kaliyaperumal, Shobana Jayakumar and Kalpana Ayanellore Vijayaraghavan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 Envisioning Explainable AI: Significance, Real-Time Applications, and Challenges in Healthcare 563\u003cbr\u003e \u003ci\u003eKannan Chakrapani, Mohamed Iqubal Safa, Saranya Gangadhara Moorthy, Meenakshi Kumaraswamy and George Parimala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25 Enlightened XAI: Illuminating Ethics and Equitable Explainability 593\u003cbr\u003e \u003ci\u003eHemalatha P., Manikandan J., B. Balaji and V. Sujitha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 Enhancing Trust and Collaboration Using Explainability in Natural Language Processing for AI-Driven Healthcare 619\u003cbr\u003e \u003ci\u003eA. Pandian, K. Pradeep Mohankumar, S. Padmini, Sibi Amaran and K. Sreekumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAbout the Editors 651\u003c\/p\u003e \u003cp\u003eIndex 653\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433236427032,"sku":"9781394249268","price":168.88,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394249268.jpg?v=1784852619","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/explainable-artificial-intelligence-in-the-healthcare-industry-hardback-9781394249268","provider":"Freshly Printed Books","version":"1.0","type":"link"}