HelloAI Professional course
Making AI the superpower of medical professionals
Interested in exploring AI and its current and future applications in medical settings? HelloAI Professional is a unique course designed to educate experts within a few weeks on AI technology's context, its potential to enhance patient lives, streamline medical professionals' work, and create new entrepreneurial opportunities.
Who should enrol:
✔ Practicing Medical Professionals ✔ IT Managers ✔ Business Leaders ✔ Senior Healthcare Professionals and Executives ✔ Entrepreneurs
Understand the outcomes AI can deliver to healthcare provider institutions post initial investment.
Gain insights into when and why you can trust the "Black Box" and comprehend the nature and implications of algorithm bias.
Discover how AI becomes a critical toolkit for making healthcare sustainable and effective through practical case studies.
Explore real-life examples from peer institutions and providers on how AI enhances care quality and effectiveness, including insights on challenges.
Develop a roadmap for addressing key areas within your organization to ensure successful AI implementation.
Understand the benefits and opportunities of data-driven healthcare.
Learn about technology diplomacy to facilitate global alignment of AI governance and foster a vibrant innovation system.
HelloAI Welcome Brochure
How to access your ECTS credit
How to access your EITH certificate
1.1 - AI, Personalized medicine and rethinking design
1.2. - Radiology powered by AI
1.3. - AI implementation in clinical environment
1.4. - Transforming healthcare with AI
1.5. - AI Application in Ultrasound
2.1. - Outlook: Start-up journey and acceleration, professional speech is important
2.2 - From scienticif idea to product - A startup journey
2.3. - Introduction of LEITAT Technology Center
2.4. - AI Product development cookbook
2.4.1 - GUIDE: Data Science Cookbook
Module 2 - Quiz 1 - Data Science Cookbook
2.5 - Outlook: AI from the Lab to the installed Base - Industry insight
3.1. - Introducing AI solution in your Healthcare Provider organization
3.2. - Why Data handling, preparing and distributed machine learning are needed?
3.3. - “Smartreport”– Explaining medical reports with the help of AI
3.4. - AI Insights by UM - D-Lab
3.4.1 - AI in imaging - The Example of handcrafted radiomics by UM
3.4.2 - AI in treatment personalization - by UM
3.4.3 - AI based decision support systems for improved healthcare - By UM
3.5. - Introduction of KTH
4.1. - Python and Google Colab
4.1.1 - GUIDE: Python notebook
4.1.2 - Python and Google Colab - Intro (Python codes included)
4.1.3 - Python and Google Colab - Variables
4.1.4 - Python and Google Colab - Operators
4.1.5 - Python and Google Colab - Data structures
4.1.6 - Python and Google Colab - Controll flow
4.1.7 - Python and Google Colab - Imports
4.1.8 - Python and Google Colab - Functions
4.1.9 - Python and Google Colab - Objects
5.1. - Image Analysis without AI
5.1.1 - Image Analysis without AI - Medical Images
5.1.2 - Image Analysis without AI - Gray-Scale and Texture Features
5.1.3 - Image Analysis without AI - Texture Features (cont)
5.1.4 - Image Analysis without AI - Shape features