Course: How Artificial Intelligence Can Support Healthcare

In this video Lisa explains the reasoning behind the choice for the best AI solution for her department. Do you agree, or would you have chosen a different option? What …

Healthcare professionals will not only have to be confronted with new AI-driven tools on a daily basis, they are also the ones that will have to communicate with their patients …

With the implementation of artificial intelligence in healthcare, it is of vital importance to always keep the patient in mind. How will patients react to the use of AI and …

In the previous step, you already reflected upon the potential workforce replacement. We also wanted to learn the opinion of patients, industry representatives, and healthcare professionals themselves on whether they …

Now that we have learned more about the ethical and social aspects of artificial intelligence in healthcare, it would be interesting to reconsider the topic of the trustworthiness of artificial …

As healthcare is transitioning towards AI-reliant models, direct interactions between patients and AI will also increase. We asked people in the field to explain what challenges arise in this patient-AI …

AI can be used to empower patients by enhancing their ability to make evidence-based health decisions. In this way, patients and medical practitioners become equal allies for responsible medical decisions …

To learn more about the General Data Protection Regulation (GDPR), we have turned to legal expert Jeanne Mifsud-Bonnici. Jeanne is a Professor in European Technology Law and Human Rights at …

Increasingly, more products and services that use AI are being developed and marketed in the healthcare domain. Examples include radiology software that assists the radiologist in the detection of tumors, …

To introduce the topics of the Medical Device Regulation (MDR) and the General Data Protection Regulation (GDPR), we asked Stefan Phillips and Joachim Zaers from OneVision Healthcare to explain what …

Explainable AI gives access to why and how every input shapes a particular outcome provided by the AI, making it easier to understand the results. It allows healthcare professionals and …

AI technologies are a powerful tool to face the rising labor shortage of healthcare and give professional workers tools to do their jobs in better conditions. They are an integrated …

In the previous steps, you have learned what bias is and how it can affect the trustworthiness of an AI system. It can cause AI systems to produce prejudiced results …

Bias is a phenomenon that occurs when the machine learning model systemically produces prejudiced results. It can be caused by bad quality or wrong example data, which is called representational …

One of the seven requirements for reaching trustworthy AI is the application of diversity, non-discrimination, and fairness. In order to meet this requirement, bias should be avoided. In this video, …