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Explainable Artificial Intelligence in the Healthcare Industry 1st Edition
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
۱ A Review on Explainable Artificial Intelligence for Healthcare
۲ Explainable Artificial Intelligence (XAI) in Healthcare: Fostering Transparency, Accountability, and Responsible AI Deployment
۳ Illuminating the Diagnostic Path: Unveiling Explainability in Medical Imaging
۴ HealsHealthAI: Unveiling Personalized Healthcare Insights with Open Source Fine-Tuned LLM
۵ Introduction to Explainable AI in EEG Signal Processing: A Review
۶ Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare
۷ Transparency in Text: Unraveling Explainability in Healthcare Natural Language Processing
۸ Introduction to Explainable AI in Healthcare: Enhancing Transparency and Trust
۹ Interpretable Machine Learning Techniques
۱۰ Interpretable Machine Learning Techniques in AI
۱۱ Interpretable Machine Learning Techniques in Medical System—The Role of Data Analytics and Machine Learning
۱۲ Interpretable AI: Shedding Light on Medical Image Analysis Using Machine Learning Techniques
۱۳ Exploring the Role of Explainable AI in Women’s Health: Challenges and Solutions
۱۴ Explainable AI in Healthcare: Introduction
۱۵ Ethical Implications of Emotion Recognition Technology in Mental Healthcare: Navigating Privacy, Bias, and Therapeutic Boundaries
۱۶ Bridging the Gap: Clinical Adoption and User Perspectives of Explainable AI in Healthcare
۱۷ Application of AI-Based Technologies in the Healthcare Sector: Opportunities, Challenges, and Its Impact—Review
۱۸ A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real-Time Applications
۱۹ Future Research Directions: Explainable Artificial Intelligence in Healthcare Industry
۲۰ Real-World Applications of Explainable AI in Healthcare
۲۱ Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction: A New Era in Healthcare
۲۲ Understanding Explainability in Medical Imaging
۲۳ Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation
۲۴ Envisioning Explainable AI: Significance, Real-Time Applications, and Challenges in Healthcare
۲۵ Enlightened XAI: Illuminating Ethics and Equitable Explainability
۲۶ Enhancing Trust and Collaboration Using Explainability in Natural Language Processing for AI-Driven Healthcare
لینک کوتاه : https://bookbaz.ir/?p=518949
نویسنده : Abhishek Kumar
ناشر : Wiley-Scrivener; 1st edition
سال انتشار : 2025
زبان کتاب : انگلیسی
نوع فایل : PDF (نسخه اصلی)
تعداد صفحات : 680
(ISBN) شابک : 1394249268
قیمت کتاب درآمازون : $180.00
حجم فایل : 22 MB