Course

Trustworthy AI for Healthcare Management

Politecnico di Milano

This MOOC, "Trustworthy AI for Healthcare Management," offers a comprehensive introduction to the application of artificial intelligence in the healthcare sector. Participants will gain a deep understanding of the basics of artificial intelligence and its ethical and trustworthy implementation in healthcare. The course is designed to benefit healthcare professionals, patients, and AI practitioners, requiring no prior knowledge of AI.

Key topics covered in this course include:

  • An overview of artificial intelligence and its applications in healthcare
  • Challenges and potential solutions for implementing AI in healthcare
  • Ethical principles and the assessment of trustworthy AI
  • Real-world case studies demonstrating the application of AI in healthcare, such as detecting cardiac arrest symptoms and classifying skin lesions

This MOOC is a product of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE), funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233. It is aimed at making Europe more resilient and prepared for future large-scale risks.

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Trustworthy AI for Healthcare Management
Course Modules

Trustworthy AI for Healthcare Management comprises five modules covering the basics of AI, trustworthy AI principles, case studies, and practical recommendations, benefiting healthcare professionals, patients, and AI practitioners.

Introduction

This module provides an introduction and overview of the course, detailing the key concepts and objectives.

Introduction to Artificial Intelligence in Healthcare

Participants will learn about the basics of artificial intelligence, its applications in healthcare, as well as the challenges and potential solutions in implementing AI in the healthcare sector.

Introduction to Trustworthy Artificial Intelligence

Here, participants will delve into the ethical principles of trustworthy AI, the assessment of trustworthy AI, and how to realize trustworthy AI in practice.

Case Studies of Artificial Intelligence in Healthcare

Real-world case studies are presented, showcasing the application of AI in healthcare, including detecting cardiac arrest symptoms, classifying skin lesions, and assessing lung damage from chest X-rays.

Recap

This module offers a recap and practical recommendations for trustworthy AI in healthcare, summarizing the key learnings and providing actionable insights for application.

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