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Resources

We offer resources useful for every medical practitioner interested in learning how to leverage Artificial Intelligence in a digital age. All resources will refer to the original source so you are able to discover more content from the provider. Resources are regularly updated to keep you informed on the latest content.

Whether you have little or advanced knowledge in the topic of Engineering, Machine Learning or Artificial Intelligence, you will find a course that will suite your needs. These courses will give you hand-on experience by offering an interactive combination of videos, readings and examinations.

Fundamentals of Machine Learning for Healthcare 

By Stanford University

This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare.

Time: Approximate 12 hours

Experience: Beginner

Instructor: Mattew Lungren, Serena Yeung

Date: No deadline

Readings are designed to expand your knowledge and catch up on the latest actualities and research conducted by experts in the field. 

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How AI can make Healthcare Human Again

By Eric Topol

AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.

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Listen to talks, conferences, panel discussions and more to hear from, and engage with experts in the domain of Radiology and Artificial Intelligence. All talks are open to all knowledge levels and challenge you to think about the implications of Artificial Intelligence in your future career.

Time: Approx. 1:03 hours viewing time

Panel: Mattew Lungren and others

Pathways to Careers in AI and Medicine

By Stanford AIMI

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In this eighth episode of 'AI happy hours' series, a panel discussion consisting of medical practitioners and engineers debate what impact the emerging world of IT and AI have on the profession of the medical experts. Topics like the balancing of IT and clinical competencies, overcoming the 'Imposter syndrome' and practical advise to get started in advise are discussed. Last, the panel  discus some exciting new projects on the horizon.

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We share information on Institutions active in the domain of Artificial Intelligence for medical imaging. These institutions offer useful resources like seminars, podcasts, expert talks, networking events and more. Consider for example the European Society of Medical Imaging Informatics.

The European Society of Medical Imaging Informatics (EuSoMII) is a non-profit healthcare organization that aims to connect radiologists, radiology residents, data scientists and informatics experts. 

EuSoMII provides its members and the radiological community with up-to-date information on the latest innovations and achievements in medical imaging informatics and AI by supporting education, research and events related to the top-tier software in radiology.

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