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Open Lecture TU/e | AI in Healthcare – Not the Future but the Present

Event details

October 2, 2023
16:00 - 18:00
Event Category:
Conference Center High Tech Campus, The Strip, High Tech Campus 1
Eindhoven, 5656 AE Netherlands


High Tech Campus Eindhoven
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Join Nicolas Pezzotti on October 2nd for the next in the popular series of Open Lectures. There is free admission for everyone including TU/e students & alumni, HTCE residents and the general public. Please register so we can ensure there are refreshments for everyone!

AI in Healthcare – Not the Future but the Present
In this lecture, Nicolas will provide two examples of how AI is currently deployed at scale in healthcare applications. He will present the Philips Cardiologs platform and how our AI models analyze 70 million ECGs every year, to provide a diagnosis to 2 million patients, as well as share how AI is allowing to scan more patients with MRI systems. He will then touch upon some of the most interesting topics that are investigated at TU/e and LUMC, and how such early investigations are connected to the innovation pipeline.

Date: October 2, 2023
Time: 16:00-18:00 hrs
Location: Conference Center High Tech Campus Eindhoven  (see interactive map)

The Program:

15:30 – 16:00  Walk-in
16:00 – 17:00  Open Lecture, including Q&A
17:00 – 18:00  Drinks

About Nicolas Pezzotti:
Nicola Pezzotti is the Director of Data Science at Philips Cardiologs in Paris and an assistant professor at the Eindhoven University of Technology. His research interests include machine learning, medical imaging, visual analytics, explainable AI, optimization techniques, and software engineering. He received his BSc and MSc in Computer Science and Engineering from the University of Brescia, Italy, in 2009 and 2011. He received his PhD cum Laude from Delft University of Technology, the Netherlands, in 2018. Besides his experience in the startup world, he was a visiting scientist at INRIA Saclay, Paris, in 2017 and Google AI, Zurich, in 2018. He is the recipient of several awards, including the IEEE VGTC Best Dissertation Award, TU Delft Excellence in Research, and the Dirk Bartz Prize for Visual Computing in Medicine.

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