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Medical AI Made Easy: A Step-By-Step Guide for Doctors and Healthcare Professionals to Build Medical AI

by Zviad Gurtskaia

A practical introduction to building medical AI

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AlbakiReads Editorial

A practical introduction to building medical AI

Organized around hands-on implementation, the guide introduces supervised and unsupervised machine learning, deep learning for medical-image analysis, and computer vision. Its examples use medical data and MATLAB as the primary development platform, while an online simulator is presented as a place to try examples and practice with datasets. The second edition adds material, including a new chapter on computer vision. The book’s emphasis is on constructing diagnostic applications, not debating AI’s broader role in medicine; it is framed for readers without a technical background.

Good fit for readers who enjoy

  • Doctors, medical students, and healthcare professionals seeking practical introductions to building AI applications.
  • Biomedical engineers interested in machine learning and computer vision applied to medical data.
  • Beginners looking for guided exercises using MATLAB and an online simulator.

Themes

Medical artificial intelligenceSupervised and unsupervised machine learningDeep learning and medical imagingComputer visionPractical application development

Based on publisher information and book metadata.

Book overview

Build Medical AI - even if you have never programmed before.

This book is written for doctors, medical students, biomedical engineers, and healthcare professionals who want to create their own AI-powered diagnostic applications without needing a technical background.

  • No complicated mathematics.
  • No confusing code.
  • Just clear, step-by-step guidance.

From the very first days, you will begin building real artificial intelligence models using medical data.

Inside the book, you will learn how to:
  • Create supervised Machine Learning models from laboratory and clinical data
  • Use unsupervised learning to discover hidden patterns
  • Build Deep Learning systems for medical image analysis
  • Apply modern Computer Vision techniques
  • Turn ideas into working diagnostic tools

The book focuses on practical implementation, not discussions about whether AI is good or bad for medicine.


Includes access to an ONLINE SIMULATOR

Readers receive access to ai-medical-apps.com, where you can:

  • Simulate the examples from the book
  • Experiment with real medical datasets
  • Practice building applications in a guided environment

Second Edition (First published in 2025)

This edition includes 40+ pages of new material and a completely new chapter on Computer Vision.

Written by a practicing Doctor/medical IT Expert, not generated by AI, this book reflects real-world experience and hands-on expertise.

MATLAB is used as the primary development platform.

If you are ready to move from AI user → to AI creator,
this book will guide your first steps.

Start building Medical AI today.

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