Clinical AI with Python: Automating Diagnostics, Risk Scores, and Patient Stratification

Reactive Publishing

Clinical AI with Python is your essential guide to harnessing the power of artificial intelligence to revolutionize diagnostics, automate clinical decision-making, and stratify patients with precision. Whether you're a healthcare analyst, data scientist, medical researcher, or AI engineer, this book bridges the gap between modern machine learning and practical clinical application.
Inside, you'll learn how to:

• Build end-to-end diagnostic models using real-world clinical datasets
• Automate risk scoring systems (like APACHE, CHADS2, and custom stratification models)
• Implement patient cohorting and segmentation using unsupervised learning
• Navigate regulatory, ethical, and interpretability concerns in medical AI
• Deploy Python-based tools for reproducible, scalable, and explainable clinical insights

With hands-on code examples, case studies, and best practices, this book empowers you to bring clarity and speed to complex medical decisions—turning AI into a life-saving force in healthcare.
Ideal for professionals in clinical research, digital health, and applied machine learning.