Introduction to Artificial Intelligence in Medicine

A beginner-friendly journey through AI taught by Medical Doctor Yohann Missiak, Specialist of AI in Medicine

What you'll learn
⚡ Understand what AI is and how it learns from real medical data
⚡ Explain Decision Trees, Random Forests and Neural Networks in plain language
⚡ Apply GDPR principles and informed consent rules to medical AI projects
⚡ Analyse a real AI case study — screening 2 million+ patients for Kidney Disease
⚡ Distinguish between supervised and unsupervised machine learning in healthcare
⚡ Recognise when an AI model is trustworthy, interpretable and clinically safe
⚡ Understand how AI models are validated scientifically before clinical use
⚡ Approach Generative AI tools like ChatGPT with confidence and clinical awareness
⚡ Understand what is consent and how it applies in AI
⚡ Understand the type of AI Validation

Requirements
❗ No coding or programming experience needed — everything is explained from scratch
❗ No prior knowledge of AI or machine learning required
❗ A basic interest in medicine or healthcare is helpful but absolutely not required
❗ All you need is curiosity — this course was built to welcome complete beginners

Description
Are you curious about how Artificial Intelligence is transforming

healthcare — but not sure where to start?Doctor Yohann Missiak, MD, is here to guide you.

This course was built for you.

Whether you are a medical professional, a healthcare student,

a researcher, or simply someone fascinated by the future of medicine,

this course gives you a clear, honest, and genuinely exciting

introduction to AI in clinical practice.

No coding required. No prior AI knowledge needed.

Just clear explanations, real examples, and a passion for medicine.

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WHAT MAKES THIS COURSE DIFFERENT?

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This course is not taught from a textbook.

It is taught by Dr Yohann Missiak — a Chemical Pathologist, Director of a

Clinical Laboratory, and AI Director at Inovie Laboratory Group in France who has successfully designed

and implemented an AI-powered screening system for Chronic Kidney

Disease across a patient population of over 2 million people yearly.

You will learn from someone who has actually built, validated,

and deployed medical AI in a live hospital environment —

not just studied it.

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WHAT YOU WILL LEARN

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✅ What Artificial Intelligence truly is — in plain, clear language

✅ The difference between supervised and unsupervised learning

✅ How Decision Trees, Random Forests, and Neural Networks work

✅ Why interpretability matters so much in clinical practice

✅ The concept of informed consent when using AI with patients

✅ What GDPR means for medical data and AI development

✅ How to validate an AI model — technically and scientifically

✅ A full real-world case study: AI screening for Chronic Kidney Disease

✅ An introduction to Generative AI and its role in medicine

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WHO IS THIS COURSE FOR?

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→ Programmers and IT enthusiasts ready to dive in AI for Medicine

→ Medical doctors and specialists curious about AI tools

→ Nurses, allied health professionals, and clinical staff

→ Medical and healthcare students at any stage

→ Hospital administrators and healthcare managers

→ Researchers interested in clinical AI applications

→ Anyone who wants to understand AI in medicine — from the inside

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COURSE STRUCTURE — 9 CHAPTERS

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Chapter 1 — Introduction to AI in Medicine

Chapter 2 — Supervised vs Unsupervised Learning

Chapter 3 — AI Models Up Close

Chapter 4 — Consent and Responsibility in AI

Chapter 5 — GDPR and Patient Data

Chapter 6 — Validating an AI Model

Chapter 7 — Real Case Study: Chronic Kidney Disease Screening

Chapter 8 — Generative AI in Medicine

Chapter 9 — Conclusion and What Comes Next

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A NOTE FROM DR YOHANN MISSIAK

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"I built this course because when I started working with AI in

my laboratory, I would have loved someone had explained it to me this clearly.

Medicine is about people. AI is a tool. And when used thoughtfully,

it is one of the most powerful tools we have ever had.

I want you to leave this course feeling confident, inspired,

and ready to ask the right questions — whether you are talking

to a data scientist, a hospital board, or your own patients."

— Dr Yohann Missiak

Who this course is for
⭐ Programmers and developers who want to understand the medical and ethical side of AI
⭐ Medical doctors and healthcare professionals curious about AI in clinical practice
⭐ Complete beginners with no coding background who want to understand medical AI
⭐ Nursing, pharmacy and allied health students at any stage of their studies
⭐ Hospital managers and clinical directors evaluating AI tools for their teams
⭐ Anyone inspired by the future of healthcare and wanting a trustworthy place to start

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