Christos Chatzichristos
I am Christos Chatzichristos, currently a post-doctoral researcher at KU Leuven. My educational background revolves around electrical and computer engineering, with a specialization in Biomedical Applications and an emphasis on signal processing during both my Master's and Ph.D. studies. During my doctoral journey, I witnessed the profound impact of neural networks on the field of signal processing, marking the inception of my foray into the realm of AI applications. I hold a strong belief in fostering broad interdisciplinary collaborations, as I believe that research today cannot thrive in isolation within a single domain. Artificial intelligence stands as a potent tool to expedite healthcare research. However, to truly harness its potential, we must bridge the gap by facilitating healthcare professionals' understanding of fundamental AI concepts, just as they aid biomedical engineers in unraveling the mysteries of the human body. So, here's to using AI to accelerate healthcare research while ensuring that we all speak the same language – whether it's the language of algorithms or the language of anatomy!
Field of study/sector
- Computer Science & IT
- Healthcare, Biomedical Sciences & Sports
courses
Ethics, Policy & Innovation for AI in healthcare - Health Nexus Forum
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
AI to Understand and Connect People
online course - KU Leuven Humanities & Social Sciences, AI4Culture, VAIA
UNA-Europa epilepsy challenge
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
AI in Healthcare: Hype or Help?
webinar - Skillstown & VAIA
The AI booth at the FTI Closing Festival
booth - Antwerp Sportpaleis - VAIA, imec, Flanders AI Research & amai!
AI in Healthcare. Hype or Help?
course - online - KU Leuven, VAIA
Seizure Detection with Wearable Devices and AI
Webinar - VAIA, Flanders AI Research & KU Leuven STADIUS
Blog posts
How do you create a learning trajectory: a healthcare example
The need for retraining professionals on AI is growing ever faster. But how do you develop a tailor-made learning path that works, starts from the world of real people, and effectively helps them move forward?
GenAI in healthcare: a revolution
When we think of GenAI we usually think of ChatGPT. But GenAI, the generation of new information by an AI system, can be so much more. In healthcare this technology is rapidly changing the sector, via synthetic data, digital twins, foundational models and last but certainly not least: administrative automation and streamlining.
How can AI be used in healthcare?
AI is rapidly transforming the healthcare domain. From diagnosis to treatment: AI helps doctors and other medical professions to take better-informed decisions and to supply more personalised care.