Introduction to Artificial Intelligence in MedicinePublished 5/2026
Created by Yohann Missiak
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner |
Genre: eLearning |
Language: English |
Duration: 9 Lectures ( 1h 39m ) |
Size: 4.1 GB
⚡ 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
DescriptionAre 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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