Preface xxix -- 1 A Review on Explainable Artificial Intelligence for Healthcare 1 Rakhi Chauhan -- 2 Explainable Artificial Intelligence (XAI) in Healthcare: Fostering Transparency, Accountability, and Responsible AI Deployment 17 Asha S. Manek, Shruti Vashist, Geeta Tripathi and Savita Sindhu -- 3 Illuminating the Diagnostic Path: Unveiling Explainability in Medical Imaging 39 Sivanantham S., Anwar Basha H., Thanuja K., Shafiya Banu M., Maithili K. and AnilKumar Ambore -- 4 HealsHealthAI: Unveiling Personalized Healthcare Insights with Open Source Fine-Tuned LLM 67 Lavan J. V. and Lakshmi Sangeetha -- 5 Introduction to Explainable AI in EEG Signal Processing: A Review 79 Parag Puranik and Rahul Pethe -- 6 Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare 105 Inam Ul Haq, Adil Husain Rather, Syed Zoofa Rufai, Ahmad Shah, Sheetal and Akib Mohi Ud Din Khanday -- 7 Transparency in Text: Unraveling Explainability in Healthcare Natural Language Processing 131 Madhan Veeramani, Karthick P., S. Venkateswaran, Sriman B., Shaik Thasleem Bhanu and V. Seedha Devi -- 8 Introduction to Explainable AI in Healthcare: Enhancing Transparency and Trust 161 Karthik Srinivasan, Chaithanya Kumar Viralam Ramamurthy, Saravanan Matheswaran and Shermin Shamsudheen -- 9 Interpretable Machine Learning Techniques 185 V. Kavitha, K. Suresh, G. Priyadharshini, Shaik Rasheeda Begum and R. Vidhya -- 10 Interpretable Machine Learning Techniques in AI 209 Shavez, Poornima, Kanu Goyal, Shweta Sharma and Parul Sharma -- 11 Interpretable Machine Learning Techniques in Medical System—The Role of Data Analytics and Machine Learning 233 Venkataraman P., Sunantha D. and Lakshmi S. -- 12 Interpretable AI: Shedding Light on Medical Image Analysis Using Machine Learning Techniques 257 S. Bashyam, P. Supraja and Prithiviraj Rajalingam -- 13 Exploring the Role of Explainable AI in Women’s Health: Challenges and Solutions 283 Inam Ul Haq and Akib Mohi Ud Din Khanday -- 14 Explainable AI in Healthcare: Introduction 307 Amandeep Kaur and Sonali Goyal -- 15 Ethical Implications of Emotion Recognition Technology in Mental Healthcare: Navigating Privacy, Bias, and Therapeutic Boundaries 325 R. Ravi, V. Jeya Ramya, B. Prameela Rani, Srikanth Nalluri and M. Jenath -- 16 Bridging the Gap: Clinical Adoption and User Perspectives of Explainable AI in Healthcare 349 Shaik Masood Ahamed and J. Jabez -- 17 Application of AI-Based Technologies in the Healthcare Sector: Opportunities, Challenges, and Its Impact—Review 375 G. Jegadeeswari and B. Kirubadurai -- 18 A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real-Time Applications 393 A. Pandian, V. V. Ramalingam, J. Venkata Subramanian, K. Pradeep Mohan Kumar and S. Padmini -- 19 Future Research Directions: Explainable Artificial Intelligence in Healthcare Industry 423 Shamneesh Sharma, Neha Kumra, Meghna Luthra, Vikas Verma and Komal Sharma -- 20 Real-World Applications of Explainable AI in Healthcare 451 Urvi, Parul Sharma, Kanu Goyal and Shweta Sharma -- 21 Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction: A New Era in Healthcare 467 Komal, Ganesh K. Sethi, Shamneesh Sharma and Rajender Kumar -- 22 Understanding Explainability in Medical Imaging 493 Annie Silviya S. H., R. Tamizh Kuzhali, Akshaya V., Lakshmi Prabha T. S., Immanuvel Arokia James K. and B. Sriman -- 23 Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation 521 Uma Maheswari Kalia Moorthy, Asthampatti Marimuthu Jayapalan Muthukumaran, Vijayalakshmi Kaliyaperumal, Shobana Jayakumar and Kalpana Ayanellore Vijayaraghavan -- 24 Envisioning Explainable AI: Significance, Real-Time Applications, and Challenges in Healthcare 563 Kannan Chakrapani, Mohamed Iqubal Safa, Saranya Gangadhara Moorthy, Meenakshi Kumaraswamy and George Parimala -- 25 Enlightened XAI: Illuminating Ethics and Equitable Explainability 593 Hemalatha P., Manikandan J., B. Balaji and V. Sujitha -- 26 Enhancing Trust and Collaboration Using Explainability in Natural Language Processing for AI-Driven Healthcare 619 A. Pandian, K. Pradeep Mohankumar, S. Padmini, Sibi Amaran and K. Sreekumar -- About the Editors 651 -- Index 653.