3 Review(s)

The integration of artificial intelligence (AI) stands as both a promise and a challenge in the field of healthcare. As technological advancements reshape the industry, academic scholars find themselves at the forefront of a crucial dialogue about the ethical implications and societal repercussions of AI. The accelerating sophistication of AI technologies brings forth a central dilemma: how to maintain the crucial human touch required for compassionate and effective patient care in the face of unprecedented technical progress. This challenge is not only a theoretical concern but a pressing reality as healthcare systems increasingly rely on AI-driven solutions. Approaches to Human-Centered AI in Healthcare emerges as a significant guide, offering a comprehensive exploration of the opportunities and challenges entwined with the integration of AI into healthcare. The book becomes a critical compass, navigating readers through the intricate intersections of AI and patient care. By delving into real-world case studies, cutting-edge research findings, and practical recommendations, it provides a roadmap for scholars to navigate the complexities of healthcare AI. In doing so, it aims not only to inform but to shape the discourse around the responsible integration of AI, ensuring that the fundamental principles of compassionate patient care remain at the forefront. Within the pages of this publication, it emphasizes the moral, patient-centric, and socially responsible aspects of AI in healthcare. The imperative to place humans at the center of AI-driven developments is a guiding principle, urging scholars to consider the societal implications and ethical nuances that accompany the transformative potential of AI in healthcare. By addressing these concerns, the book positions itself as a resource for reshaping the discourse around healthcare AI, contributing to a future where technological innovation enhances patient experiences, improves outcomes, and upholds the core tenets of compassionate healthcare.