This is a hybrid event was broadcasted live from the TU/e (Atlas, 0.710- PhD Defense room).
It is important to enable scientists to analyse the data, discover and develop new hypotheses about human health so that they can focus on what really matters: improving patients’ lives with a fast track to clinical innovation. During this event, we will address how data sharing and AI play an essential role within e/MTIC and share with you two research cases in which data and AI play a vital role.
Finding, accessing, and processing medical data while respecting privacy and security regulations is a complex task. To drive value-based health care, we need to analyse massive amounts of data.
Program
Moderators:
- Sjoerd Mentink, Philips Program Manager Public-Private Partnerships and e/MTIC Program manager
- Ya-Suei Cheng, ICAI Community manager, UvA
| 12:00 | Maarten de Rijke (UvA), ICAI scientific director | Opening words |
| 12:05 | Kees van der Klauw, manager at NL AI Coalition and e/MTIC Ecosystem manager | “How data sharing and AI play an essential role within e/MTIC " and introduction of the e/MTIC Health Data Portal” Over the past years, breakthrough innovation has increasingly been fueled by the use of data and Artificial Intelligence. Availability of data has dramatically increased, and the cost of computation and data storages have exponentially decreased. But the use of data for healthcare innovations is still cumbersome because of the lack of interoperability and standards and because of numerous legal restrictions and regulations to share data. e/MTIC, with close to 100 PhD students working on MedTech innovations, unburdens the researchers with the Health Data Portal and common processes that takes care of the required security, privacy, legal and ethical frameworks. It will act as one of the regional nodes in the HealthRI enabling more data driven research in the region and in the Netherlands. |
| 12:20 | Nicola Pezzotti, Senior Scientist at Philips Research and Assistant Professor at the TU/e | “Trustworthy AI for Medical Image Formation” Artificial intelligence is becoming a key enabler in the process on generating diagnostic images in many different imaging modalities such as MRI, CT and Ultrasound. In this talk I will present some of our successes in developing trustworthy AI solutions in this space, with a focus on hybrid deep learning models, as well as techniques to inspect and analyze problematic inputs or design choice. |
| 12:45 | Jon Pluyter, Senior Usability Engineer at Philips | “Advancing cancer care with human-centered Artificial Intelligence” Early detection, accurate diagnosis, and optimal treatment selection are critical factors to improve outcomes for cancer patients. Radiological imaging has a central role in oncology care, but considerable challenges are to be overcome regarding its accuracy and efficacy. While AI holds great promise to support radiologic imaging in oncology, AI is rarely successfully adopted in clinical practice and therefore its impact on patient outcomes remains limited.Within the e/MTIC innovation ecosystem, a close multidisciplinary collaboration on oncology has been established between Catharina Hospital Eindhoven, TU/e, and Philips Research and Design. We aim to develop robust AI for oncology, shape clinician-AI collaboration, and evaluate adoption and use of AI solutions in the field. In our presentation, we will highlight how AI could improve cancer care and discuss what challenges need to be overcome to make AI solutions “ready” for real-world conditions in clinical practice. |
| 13:10 | Kees van de Klauw and Sjoerd Mentink | “Recap and insights of e/MTIC as regional hub and participation in the national HealthRI project” |
| 13:25 | Closing session |