HelloAI Professional

• HelloAI Welcome brochure
• How to access your certificate

• 1.1 AI, Personalized Medicine, and Rethinking Design
• 1.2 Radiology Powered by AI
• 1.3 AI Implementation in Clinical Environments
• 1.4 Transforming Healthcare with AI
• 1.5 AI Applications in Ultrasound

• 2.1 Outlook: Startup Journey and the Importance of Professional Communication
• 2.2 From Scientific Idea to Product · A Startup Journey
• 2.3 Introduction to LEITAT Technology Center
• 2.4 Outlook: AI from the Lab to the Installed Base · Industry Insight

• 3.1 Introducing AI Solutions in Your Healthcare Provider Organization
• 3.2 Why Data Handling, Preparation, and Distributed Machine Learning Matter
• 3.3 "SmartReport" · Explaining Medical Reports with AI
• 3.4 AI Insights by UM D-Lab
• 3.4.1 AI in Imaging · Handcrafted Radiomics (UM)
• 3.4.2 AI in Treatment Personalization (UM)
• 3.4.3 AI-Based Decision Support Systems (UM)
• 3.5 Introduction to KTH

• 4.1 Python and Google Colab
• 4.1.1 Guide: Python Notebook
• 4.1.2 Python Code Introduction
• 4.1.3 Variables
• 4.1.4 Operators
• 4.1.5 Data Structures
• 4.1.6 Control Flow
• 4.1.7 Imports
• 4.1.8 Functions
• 4.1.9 Objects

• 5.1 Image Analysis Without AI
• 5.1.1 Medical Images
• 5.1.2 Gray-Scale and Texture Features
• 5.1.3 Texture Features (Continued)
• 5.1.4 Shape Features

6.1 · 6.2 Fundamentals

• 6.1 Guide: Quick Overview · Basics of Machine Learning and AI
• 6.2 AI Fundamentals
• 6.2.1 Machine Learning
• 6.2.2 Ontology Logic
• 6.2.3 Deep Learning
• Module 6 Quiz: AI Fundamentals

6.3 Machine learning in medical image analysis

• 6.3.1 Rule-Based AI vs Machine Learning
• 6.3.2 SVM and KNN
• 6.3.3 Decision Trees and Random Forests
• 6.3.4 Image Features
• 6.3.5 Machine Learning Examples
• 6.3.6 Machine Learning vs Deep Learning
• 6.3.7 Artificial Neural Networks (ANN)
• 6.3.8 Convolutional Neural Networks (CNN)
• 6.3.9 Common CNN Architectures
• 6.3.10 Fully Convolutional Networks (FCN)
• 6.3.11 Deep Learning Examples
• Quizzes 1–11: Machine Learning in Medical Image Analysis
• 6.4 Evaluating AI for Image Segmentation and Trustworthiness

6.5 AI in practice · Lab sessions

• 6.5.1 Guide: Laboratory Instructions
• 6.5.2 Introduction to Colab
• 6.5.3 KNN (code included)
• Quiz 6.5.3: KNN
• 6.5.4 SVM (code included)
• Quiz 6.5.4: SVM
• Random Forest (code included)
• Quiz 6.5.5: Random Forest
• 6.5.6 Feature Extraction (code included)
• Quiz 6.5.6: Feature Extraction
• 6.5.7 Deep Network (code included)

• 7.1 Transformers
• 7.1.1 Transformer Models
• 7.1.2 Transformer Architecture
• 7.1.3 Vision Transformers in Healthcare
• Quiz: Transformers
• 7.2 Large Language Models
• 7.3 Text Generation
• 7.4 Introduction to MONAI and NVIDIA's Contributions to Medical Imaging
• 7.5 Self-Supervised Learning and Interactive Segmentation
• 7.5.1 Self-Supervised Pretraining · Quiz
• 7.5.2 Interactive Segmentation · Part 1
• 7.5.3 Interactive Segmentation · Part 2
• 7.6 Introduction to Multi-Modal Foundation Models

• 8.1 Health Data Basics + Quiz
• 8.2 Data as the Fuel of AI + Quiz
• 8.3 Challenges and Importance of Data Annotation
• 8.4 AI-Assisted Medical Image Annotation + Quiz
• 8.5 Introduction to Diffusion Models

• 9.1 Patient-Centric AI
• 9.2 Patient Perspective, Communication, and Your Role
• 9.3 Benefits of AI for Patients and Patient Perceptions
• 9.4 Zed Technologies: Patient Access to Their Health Data

• 10.1 Secure Operations Verification
• 10.2 How Artificial Intelligence Is Making Healthcare More Human
• 10.3 Follow My Patient · AI-Based Solutions in a Healthcare Provider
• 10.4 Scalable Roadmaps for AI Applications
• 10.5 Unlocking Data and Intelligence
• 10.6 Guide: EHS Tutorial + Quiz

2024 Live Event No. 1 · AI in Healthcare: Insights & Impact (18 September 2024)

• Welcome & Introduction · Dr. Taha Kass-Hout, GE HealthCare
• Fireside Chat · Prof. Dr. Mathias Goyen & Jan Beger (moderator: William Benko)
• Predicting Missed Care Opportunities · Dr. Suzannah McKinney
• Q&A with Dr. McKinney
• AI-Driven Transformation in Radiology · Dr. Peter Strouhal
• Q&A with Dr. Strouhal
• Wrap-Up · Prof. Dr. Mathias Goyen

2024 Live Event No. 2 · AI in Healthcare: Innovation & Collaboration (16 October 2024)

• Interview with Parry Bathia, GE HealthCare
• AI in Prostate Cancer Diagnosis · Dr. Anthony Rix
• Human Out of the Loop Use Case · Prof. Dr. Felix Nensa
• Importance of Clinical Collaboration in AI Development · Shannon Beach

2025 Live Event No. 1 · AI Literacy in Healthcare: Why It Matters Now More Than Ever

• Fluent Enough to Question: How AI Literacy Shapes The Social Fabric of Our Healthcare System · Amy Zolotow
• The Importance of AI Awareness and Education for Creating Impact: Perspectives from a University Hospital · Marieke van Buchem
• ABCs of AI · Patricia MacTaggart

2025 Live Event No. 2 · AI in Healthcare: From Theory to Practice

• A Learning Network for Brain Health: How Federated Learning Will Transform AI and Neuroscience Discovery · Dr. Francis Jeanson
• Beyond the Smile: AI's Role in Connecting Oral Health to Systemic Wellness · Dr. Gordon Barfield
• The Central Role of AI in the New Era of Alzheimer's Disease Care · Dr. Wim Van Hecke

2025 Live Event No. 3 · A Sociotechnical System of Systems Lens

• A Sociotechnical System of Systems Lens · Prof. Xenophon Papademetris, Prof. Alka Menon

2025 Live Event No. 4 · AI's Role in Healthcare: High-Impact Examples and Insights

• The Future Is Here: Generative AI for Healthcare · Dr. Bo Wang
• What Is New in AI Rheumatology? · Dr. Ilfita Sahbudin

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