Welcome to Medical AI 4min Preview
Defining AI 4min Preview
The History of AI - Antiquity 4min Preview
The History of AI - Early
Eliza AI
SHRDLU
The History of AI – Modern
IBM’s Deep Blue
AlphaGO
The current level of AI
DeepMind’s AlphaFold
IBM’s Watson
Openai’s Gpt-4
Wayve AI
How Medical AI is created
Why AI Liteacy is Vital for Healthcare Professionals
Intro to AI Quiz
See, Understand and Define the Problem 4 min Preview
Contextual Understanding 3 min Preview
Specificity
Data Considerations
Ethical and Legal Aspects
Integration into Clinical Workflows
Validation and Verification
Post-Deployment Monitoring and Maintenance
Stakeholder Engagement and Communication
Overview of See, Understand and Define the Problem – Reflection
See, Understand and Define the Problem- Quiz
Intro to Module 3 6 min Preview
What is Data? 4 min Preview
What is Data Science?
Working with Data
Demystifying Data Collection
Data and Data Collection Quiz
Data Preprocessing – Definition
Data Preprocessing – Data Acquisition
Data Preprocessing – Data Cleaning
Data Preprocessing – Data Integration
Data Preprocessing – Data Transformation
Data Preprocessing – Data Reduction
Data Preprocessing – Challenges
Data Preprocessing - Challenges Reflection
Data Preprocessing – Future of Data Preprocessing
Data Preprocessing – Conclusion
Data preprocessing - Quiz
Suppervised Learnig 4 minutes Preview
Linear Regression – Definition Preview
Linear Regression – How does it work?
Linear Regression – Assumptions
Linear Regression – Training
Linear Regression – Application in Medical AI
Linear Regression – Case Study
Liniar Regression – Benefits and Limitations
Linear Regression – The future in Medical AI
Linear Regression – Conclusion
Linear Regression – Quiz Preview
Logistic Regression – What is it? Preview
Logistic Regression- The Role & Function Preview
Logistic Regression – Challenges and Limitations Preview
Logistic Regression – Future Preview
Logistic Regression – Conclusion Preview
Logistic Regression - Quiz Preview
Introduction to Decision Trees Preview
Decision Trees – What are they? Preview
Decision Trees – Working of Decision Trees Preview
Decision Trees – Why use in Medicine? Preview
Decision Trees – Constructing a Decision Tree Preview
Decision Trees – Overfitting and Underfitting Preview
Decision Trees – Pros and Cons Preview
Decision Trees – Ethics Preview
Decision Trees – Practical Cases Uses Preview
Decision Trees - Quiz Preview
Introduction to Random Forests Preview
Random Forests – The Idea Preview
Random Forests vs Decision Trees Preview

Course Author - Dr. Alexandru-Atila Morlocan
Dr. Alexandru-Atila Morlocan as one of the esteemed creators of our Medical AI course, with a profound background in emergency medicine, has dedicated over a decade to saving lives and providing acute care with unparalleled expertise and compassion. Over the past year, his focus has shifted towards the groundbreaking field of artificial intelligence, exploring its potential to revolutionise the healthcare industry. Dr. Morlocan brings to this course a unique blend of clinical experience and a forward-thinking approach to medical innovations. His interest in AI stems from a deep-seated belief in its capability to enhance the efficiency, accuracy, and overall value of healthcare delivery. Through his research and hands-on experimentation, Dr. Morlocan has delved into how AI can support diagnostics, treatment planning, patient monitoring, and much more, always with the goal of improving outcomes for both patients and healthcare professionals. As author of this course, Dr. Morlocan is committed to sharing his insights and experiences, fostering a learning environment where curiosity meets innovation. His teachings are not just about understanding AI technologies but also about envisioning and implementing these tools in practical, ethically responsible ways that augment the human element in medicine. Whether you're a healthcare professional seeking to integrate AI into your practice, or someone passionate about the intersection of technology and healthcare, Dr. Morlocan's guidance will be invaluable.