MEDICAL AI MADE EASY: A Step-By-Step Guide

This book is designed for doctors, medical students, and professionals across all medical specialties who want to independently develop AI medical-diagnostic applications and systems. The author aims to empower individuals with no programming experience to create medical AI applications. The text is written in clear, straightforward language, making it accessible for beginners. The book is not about how good or bad AI is or how widely it will be used in medicine. Readers will be able to start creating their own AI diagnostic applications from the very first days of using the book! It includes practical examples of machine learning and deep learning utilizing medical data. You will learn how to develop both numerical models (such as those based on laboratory tests) and models that analyze medical images (for instance, to identify skin diseases). The book covers the development of three specific artificial intelligence projects: 1. Supervised machine learning using numerical medical data. 2. Unsupervised machine learning using numerical medical data. 3. Deep learning with medical images. MATLAB software is employed as the primary tool for these applications. Upon purchasing the book, users will gain access to an online simulator www.ai-medical-apps.com, which will facilitate the creation of applications. The simulator allows for a full simulation of the examples discussed in the book. Here, the user can also find medical data for the AI projects. It's time to begin your journey into the world of medical AI!