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Full Description
Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource.
Explainable 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.
Explainable AI in the Healthcare Industry 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.
Contents
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
