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Introduction to Artificial Intelligence in Medicine
Published 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
A beginner-friendly journey through AI taught by Medical Doctor Yohann Missiak, Specialist of AI in Medicine
What you'll learn
Requirements
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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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
Homepage
Code:
https://www.udemy.com/course/introduction-to-artificial-intelligence-in-medicine
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