You will go through the core principles of generative AI, starting with foundational deep learning and neural network concepts and then progressing to practical applications for payers, providers, and health tech innovators. Readers will understand how payers can leverage AI, while providers will learn how AI can enhance medical imaging, generate synthetic patient data, and enable personalized treatment planning. Life sciences companies will discover AI's role in accelerating drug discovery, powering diagnostics, and creating personalized health applications. This book addresses vital aspects of data management, including privacy and ethical considerations. Finally, you will look into future trends, such as AI-assisted surgery and personalized medicine, and learn the collaborative strategies necessary to integrate generative AI into modern healthcare.
By the end of this book, you will have understood how generative AI functions and how it can be applied across the healthcare sector, empowering you to confidently contribute to and lead the next wave of innovation in patient care and medical technology.
WHAT YOU WILL LEARN ● Understand generative AI fundamentals and its role in healthcare. ● Apply AI for fraud detection, risk assessment, and efficiency. ● Leverage AI to enhance imaging, diagnostics, and patient care. ● Navigate data challenges, compliance, and ethical AI concerns. ● Implement AI strategies for payers, providers, and life sciences. ● Explore future AI trends and innovations in healthcare. ● Build AI wellness apps, understand HIPAA/GDPR, and prepare for AI's future.
WHO THIS BOOK IS FOR This book is for healthcare professionals, technology leaders, and business executives looking to understand and implement generative AI in healthcare. A basic understanding of healthcare operations, data management, or AI concepts is helpful but not required.
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