HelloAI Advanced

For students and researchers (ECTS credits available)

1. Welcome to HelloAI
  FREE PREVIEW
2. How to access your learning certificate
3. How to access your ECTS credit
1. 1.1 - AI, Personalized medicine and rethinking design
2. 1.2. - Radiology powered by AI
3. 1.3. - AI implementation in clinical environment
4. 1.4. - Transforming healthcare with AI
5. 1.5. - AI Application in Ultrasound
1. 2.1. - Outlook: Start-up journey and acceleration, professional speech is important
2. 2.2 - From scienticif idea to product - A startup journey
3. 2.3. - Introduction of LEITAT Technology Center
4. 2.4. - AI Product development cookbook
5. 2.4.1 - GUIDE: Data Science Cookbook
6. Module 2 - Quiz 1 - Data Science Cookbook
7. 2.5 - Outlook: AI from the Lab to the installed Base - Industry insight
1. 3.1. - Introducing AI solution in your Healthcare Provider organization
2. 3.2. - Why Data handling, preparing and distributed machine learning are needed?
3. 3.3. - “Smartreport”– Explaining medical reports with the help of AI
4. 3.4. - AI Insights by UM - D-Lab
5. 3.4.1 - AI in imaging - The Example of handcrafted radiomics by UM
6. 3.4.2 - AI in treatment personalization - by UM
7. 3.4.3 - AI based decision support systems for improved healthcare - By UM
8. 3.5. - Introduction of KTH
1. 4.1. - Python and Google Colab
2. 4.1.1 - GUIDE: Python notebook
3. 4.1.2 - Python and Google Colab - Intro (Python codes included)
4. 4.1.3 - Python and Google Colab - Variables
5. 4.1.4 - Python and Google Colab - Operators
6. 4.1.5 - Python and Google Colab - Data structures
7. 4.1.6 - Python and Google Colab - Controll flow
8. 4.1.7 - Python and Google Colab - Imports
9. 4.1.8 - Python and Google Colab - Functions
10. 4.1.9 - Python and Google Colab - Objects
1. 5.1. - Image Analysis without AI
2. 5.1.1 - Image Analysis without AI - Medical Images
3. 5.1.2 - Image Analysis without AI - Gray-Scale and Texture Features
4. 5.1.3 - Image Analysis without AI - Texture Features (cont)
5. 5.1.4 - Image Analysis without AI - Shape features
1. 6.1. - GUIDE: Quick overview - Basics of ML and AI
2. 6.2. - AI fundamentals
3. 6.2.1 - AI fundamentals - Machine Learning Module
4. 6.2.2 - AI fundamentals - Ontology Logic Module
5. 6.2.3 - AI fundamentals - Deep Learning Module
6. Module 6 - Quiz 1 - AI Fundamentals
7. 6.3. - Machine Learning in Medical Image Analysis
8. 6.3.1 - Machine Learning in Medical Image Analysis - Rule based AI vs machine learning
9. Module 6.3. - Quiz 1 - Machine Learning in Medical Image Analysis
10. 6.3.2 - Machine Learning in Medical Image Analysis - SVM and KNN
11. Module 6.3 - Quiz 2 - Machine Learning in Medical Image Analysis
12. 6.3.3 - Machine Learning in Medical Image Analysis - Decision tree and random forest
13. Module 6.3 - Quiz 3 - Machine Learning in Medical Image Analysis
14. 6.3.4 - Machine Learning in Medical Image Analysis - Image features
15. Module 6.3 - Quiz 4 - Machine Learning in Medical Image Analysis
16. 6.3.5 - Machine Learning in Medical Image Analysis - Machine learning examples
17. Module 6.3 - Quiz 5 - Machine Learning in Medical Image Analysis
18. 6.3.6 - Machine Learning in Medical Image Analysis - Machine learnings vs deep learning
19. Module 6.3 - Quiz 6 - Machine Learning in Medical Image Analysis
20. 6.3.7 - Machine Learning in Medical Image Analysis - ANN
21. Module 6.3 - Quiz 7 - Machine Learning in Medical Image Analysis
22. 6.3.8 - Machine Learning in Medical Image Analysis - CNN for image classification
23. Module 6.3 - Quiz 8 - Machine Learning in Medical Image Analysis
24. 6.3.9 - Machine Learning in Medical Image Analysis - Common CNN Architecture
25. Module 6.3 - Quiz 9 - Machine Learning in Medical Image Analysis
26. 6.3.10 - Machine Learning in Medical Image Analysis - FCN for image segmentation
27. Module 6.3 - Quiz 10 - Machine Learning in Medical Image Analysis
28. 6.3.11 - Machine Learning in Medical Image Analysis - Deep learning examples
29. Module 6.3 - Quiz 11 - Machine Learning in Medical Image Analysis
30. 6.4. - How good is AI for image segmentation and how can you trust it?
31. 6.5. - AI in practice - Laboratory session
32. 6.5.1 - GUIDE: Laboratory Instruction
33. 6.5.2 - AI in practice - Introduction to Colab
34. 6.5.3 - AI in practice - KNN (code included)
35. Module 6.5.3. - Quiz - Deep dive in AI technology - KNN
36. 6.5.4 - AI in practice - SVM (code included)
37. Module 6.5.4 - Quiz - Deep dive in AI technology - SVM
38. 6.5.5 - AI in practice - Random Forest (code included)
39. Module 6.5.5 - Quiz - Deep dive in AI technology - Random Forest
40. 6.5.6 - AI in practice - Feature Extraction (code included)
41. Module 6.5.6 - Quiz- Deep dive in AI technology - Feature Extraction
42. 6.5.7 - AI in practice - Deep Network (code included)
1. Guidelines
1. 7.1. - Health data basics
2. 7.1. - QUIZ - Health data basics
3. 7.2. - Data as the fuel of AI
4. 7.2. - QUIZ -Data as the fuel of AI
5. 7.3. - Challenges and importance of data annotation
1. Welcome & Introduction – Taha-Kass-Hout Global Chief Science & Technology Officer GE HealthCare
2. Fire-side chat with Prof. Dr. med. Mathias Goyen & Jan Beger moderated by William Benko
3. Operational AI for healthcare: Predicting Missed Care Opportunities Suzannah E. McKinney, MBChB
4. Q&A with Suzannah E. McKinney
5. AI-Driven Transformation in Radiology: Enhanced Efficiency and Operational Excellence – Dr. Peter Strouhal, Alliance Medical
6. Q&A with Dr. Peter Strouhal
7. Wrap up by Prof. Dr. med. Mathias Goyen
1. Introduction & Interview with Parry Bathia, GE Chief AI Officer
2. AI in prostate cancer diagnosis - dr. Anthony Rix
3. AI use case:Human out of the loop - Prof. Dr. Felix Nensa
4. The importance of clinical collaboration in AI development - Shannon Beach
1. HelloAI Module Feedback Survey

About this course

$105.00
98 lessons
22.5 hours of video content

HelloAI Advanced

Welcome to HelloAI ⎢General information

Module 1 | Global overview: AI in Healthcare

Module 2 | Operationalize AI

Module 3 | AI innovation in HCP organization

Module 4 | Intro to Python and Google Colab

Module 5 | Life before AI, traditional image processing

Module 6 | Deep dive in AI

LAB test to qualify for ECTS credits

Module 7 | Advanced Data Management and AI Integration

HelloAI Live Event No. 1 | AI in Healthcare: Insights & Impact - 18th September 2024

HelloAI Live Event No. 2 | AI in Healthcare: Innovation & Collaboration - 16th October 2024

Final task ⎢Your feedback

About this course

Welcome to HelloAI ⎢General information

Module 1 | Global overview: AI in Healthcare

Module 2 | Operationalize AI​

Module 3 | AI innovation in HCP organization

Module 4 | Intro to Python and Google Colab

Module 5 | Life before AI, traditional image processing

Module 6 | Deep dive in AI

LAB test to qualify for ECTS credits

Module 7 | Advanced Data Management and AI Integration

HelloAI Live Event No. 1 | AI in Healthcare: Insights & Impact - 18th September 2024

HelloAI Live Event No. 2 | AI in Healthcare: Innovation & Collaboration - 16th October 2024

Final task ⎢Your feedback

About this course

Module 2 | Operationalize AI