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Marco Brambilla

This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.

The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI.

Participants will learn:

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This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.

The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI.

Participants will learn:

- How AI systems work and learn

- What tasks can be solved by AI

- Common challenges for AI in healthcare

- Fundamentals of Trustworthy AI

- How to assess Trustworthy AI

- How Trustworthy AI assessments look in practice

This course was developed by Goethe University Frankfurt as part 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, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.

PERISCOPE website: https://www.periscopeproject.eu/

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What's inside

Syllabus

Introduction
Artificial Intelligence has the potential to drastically alter the healthcare sector. To maximize benefits and mitigate unintended negative consequences, the European Commission's High-Level expert group on Artificial Intelligence proposed a framework for Trustworthy Artificial Intelligence. This modules provides an overview on artificial intelligence in the healthcare sector, Trustworthy AI, and what topics the following modules will touch in more detail.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Focuses on trustworthiness, which is a pressing topic that affects healthcare professionals, patients, and AI professionals
Taught by Marco Brambilla, a highly accomplished instructor in the field
Developed by Goethe University Frankfurt, a well-regarded institution
Applies the Z-Inspection® process for assessing trustworthy AI, providing practical insights
Covers the full spectrum of AI in healthcare, including its applications, challenges, and ethical considerations
Involves case studies that illustrate real-world applications of trustworthy AI in healthcare

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Reviews summary

Foundational ai ethics in healthcare

According to learners, this course offers a clear and concise introduction to the intersection of AI and healthcare, particularly emphasizing trustworthy AI principles. It is designed to be accessible for those without prior AI knowledge, focusing on high-level concepts and practical applications. Learners appreciate the relevant case studies and the specific introduction to the Z-Inspection® process. While providing a strong ethical foundation, some with advanced AI backgrounds might find its technical depth too superficial.
Provides foundational understanding without deep technical detail.
"While excellent for beginners, I felt it lacked the in-depth technical detail I was hoping for as an AI practitioner."
"The course stays at a very high-level, which is great for introduction but not for advanced study."
"Don't expect coding or complex algorithms; it's more about concepts and principles."
Introduces a specific framework for AI assessment.
"The dedicated lesson on the Z-Inspection® process offers a practical approach to assessing AI."
"I found the real-world case studies helpful for seeing how trustworthy AI assessments look in practice."
"The course provides concrete tools for evaluating AI in healthcare settings."
Simplifies complex AI concepts for diverse backgrounds.
"I appreciate the high-level introduction to AI, making it understandable without prior technical knowledge."
"The module on AI basics is perfectly designed for those new to the field, avoiding complex formulae."
"It explains how AI systems work clearly, which was essential for my healthcare background."
Directly addresses AI challenges and applications in healthcare.
"As a healthcare professional, the focus on AI challenges and applications in my field was invaluable."
"This course perfectly bridges the gap between AI theory and its specific use in healthcare."
"I gained practical recommendations for implementing AI systems in healthcare."
Highlights critical ethical aspects of AI in healthcare.
"The emphasis on ethical guidelines for trustworthy AI is incredibly relevant for healthcare professionals."
"I learned about the core ethical principles for AI systems, which is vital for safe implementation."
"Understanding trustworthy AI requirements was a key takeaway for me."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Trustworthy AI for Healthcare Management with these activities:
Write a blog post or article on a topic related to trustworthy AI in healthcare
Enhance your understanding of the topic by researching and writing about it, and share your knowledge with others.
Show steps
  • Select a specific topic related to trustworthy AI in healthcare that you're interested in
  • Research the topic thoroughly using credible sources
  • Write a well-structured blog post or article that presents your findings and insights clearly
  • Publish your blog post or article on a relevant platform
Develop a trustworthy AI assessment process for your healthcare organization
Develop a practical understanding of the principles and processes involved in assessing the trustworthiness of AI systems in healthcare.
Show steps
  • Identify the key ethical principles and requirements for trustworthy AI in healthcare
  • Develop a process for assessing the trustworthiness of AI systems based on these principles and requirements
  • Pilot the process on a real-world AI system used in your organization
  • Evaluate the results of the pilot and make necessary adjustments to the process
  • Implement the process across your organization to ensure the trustworthiness of AI systems used in healthcare delivery
Show all two activities

Career center

Learners who complete Trustworthy AI for Healthcare Management will develop knowledge and skills that may be useful to these careers:
Computer Scientist
Computer Scientists research and develop new computing technologies. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Computer Scientists who are working on AI systems in the healthcare sector.
Public Health Scientist
Public Health Scientists research and develop new ways to improve public health. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Public Health Scientists who are working on AI systems in the healthcare sector.
Epidemiologist
Epidemiologists investigate the causes and spread of disease. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Epidemiologists who are working on AI systems in the healthcare sector.
Biostatistician
Biostatisticians use statistical methods to analyze data in the field of healthcare. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Biostatisticians who are working on AI systems in the healthcare sector.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, build, and maintain artificial intelligence systems. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Artificial Intelligence Engineers who are working on AI systems in the healthcare sector.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Machine Learning Engineers who are working on AI systems in the healthcare sector.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to analyze data and extract insights. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Data Scientists who are working on AI systems in the healthcare sector.
Software Engineer
Software Engineers design, build, and maintain software systems. This course may be helpful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Software Engineers who are working on AI systems in the healthcare sector.
Policy Analyst
Policy Analysts develop and analyze policies for government and non-profit organizations. This course may be useful because it provides an introduction to the ethics of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Policy Analysts who are working on policies related to AI in healthcare.
Healthcare Consultant
Healthcare Consultants provide advice to healthcare organizations on how to improve their operations and patient care. This course may be useful because it provides an introduction to the fundamentals of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Healthcare Consultants who are working with healthcare organizations on the implementation of AI systems.
Medical Ethicist
Medical Ethicists analyze and evaluate ethical issues in the field of healthcare. This course may be useful because it provides an introduction to the ethics of artificial intelligence, as well as the ethical considerations associated with AI development. This knowledge would be beneficial for Medical Ethicists who are working on ethical issues related to AI in healthcare.
Healthcare Informatics Specialist
Healthcare Informatics Specialists use their knowledge of healthcare and information technology to design, implement, and maintain health information systems. This course may be helpful because it provides an overview of artificial intelligence in the healthcare sector, as well as the challenges and ethical considerations associated with AI in healthcare. This knowledge would be beneficial for Healthcare Informatics Specialists who are responsible for implementing and managing AI systems in healthcare organizations.
Health Services Manager
Health Services Managers plan, direct, and coordinate the delivery of healthcare services in a variety of settings, including hospitals, clinics, and nursing homes. This course may be useful because it provides an overview of artificial intelligence in the healthcare sector, as well as the challenges and ethical considerations associated with AI in healthcare. This knowledge would be beneficial for Health Services Managers who are responsible for making decisions about the implementation and use of AI in healthcare organizations.
Health Policy Analyst
Health Policy Analysts develop and analyze policies that affect the healthcare system. This course may be useful because it provides an introduction to trustworthy AI, which is increasingly being used to inform healthcare policy decisions. Additionally, the course covers topics such as the ethical implications of AI in healthcare, which are important considerations for Health Policy Analysts.
Healthcare Data Analyst
Healthcare Data Analysts collect, analyze, and interpret data to help healthcare organizations improve the quality and efficiency of their services. This course may be useful because it provides an introduction to artificial intelligence, which is increasingly being used to analyze healthcare data. Additionally, the course covers topics such as trustworthy AI and ethical applications of AI, which are important considerations for Healthcare Data Analysts.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Trustworthy AI for Healthcare Management.
Provides a comprehensive overview of trustworthy AI in healthcare, including its applications, benefits, and challenges. It would be useful as additional reading for those interested in learning more about the topic.
Provides a comprehensive overview of artificial intelligence (AI) and machine learning in healthcare, including their applications, benefits, and challenges. It would be useful as additional reading for those interested in learning more about the topic.
This primer provides a brief overview of AI in healthcare for clinicians.
Provides a guide to implementing and managing AI in healthcare. It would be useful for anyone involved in the development or deployment of AI in this sector.

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