What if you could build life-saving AI models—without being a medical expert or a deep learning genius? Healthcare is changing fast, yet many people still struggle to understand how AI actually works in real hospitals. The data feels complex, the tools seem intimidating, and turning models into meaningful clinical results can feel out of reach. This book makes it simple. AI for Healthcare with TensorFlow & PyTorch is a friendly, practical guide that shows you how to build real medical AI systems step by step. You’ll learn how to work with healthcare data, create powerful deep learning models, and apply them to real-world tasks like diagnosing diseases, predicting patient risks, and monitoring health through wearables. Inside, you’ll discover how modern hospitals are using AI today, how to build your own models using TensorFlow and PyTorch, and how to deploy them safely and ethically. You’ll explore CNNs, LSTMs, Transformers, multimodal AI, synthetic data, MLOps, and the future of medical foundation models—all explained clearly and without jargon. Whether you're a developer, student, researcher, or clinician, this book gives you the skills to create AI that truly makes a difference. Ready to build the future of medicine? Grab your copy today.