توضیحات
This book explores the role of AI in healthcare through diverse perspectives, covering topics such as clinical decision support, medical imaging, predictive analytics, and personalized medicine. It addresses technical approaches, including machine learning algorithms and data integration, while also discussing ethical, legal, and regulatory considerations. Through case studies and real-world examples, readers learn how AI can improve patient outcomes, enhance operational efficiency, and support evidence-based medical practices. The text emphasizes the interdisciplinary nature of AI in healthcare, bridging technology, medicine, and policy. By the end, readers gain a well-rounded understanding of the opportunities, challenges, and future directions of AI-driven healthcare solutions.
نقد و بررسیها
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