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, …