archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] Τεχνητή Νοημοσύνη στην Ιατρική Ακριβείας

Dates
2024-11-01 17:30 - 19:30
Venue
Online
Η ομιλία θα πραγρατοποιηθεί αποκλειστικά διαδικτυακά

Title: Τεχνητή Νοημοσύνη στην Ιατρική Ακριβείας

Speaker: Prof. Polydoros Kampaktsis (Aristotle University of Thessaloniki)

Short Bio: Polydoros Kampaktsis completed undergraduate studies in Medicine and Electrical & Computer Engineering at the Aristotle University of Thessaloniki in Greece, where he also received a Master’s degree in Medical Informatics. He subsequently completed a clinical PhD in Structural Heart Disease at the University of Athens Medical School. Polydoros completed his post-graduate medical training in Internal Medicine, Cardiology, Interventional Cardiology and Echocardiography in top academic centers in the US. He was an Assistant Professor of Medicine at the Columbia University Irving Medical Center, Division of Cardiology for 3 years. He then returned to training to complete a clinical fellowship in Structural Heart Disease at the Hackensack University Medical Center, NJ. He currently also serves as a Visiting Professor at the Aristotle University of Thessaloniki Medical School.
Polydoros is a practicing Cardiologist who performs two types of research. On one hand, he is dedicated to clinical research with a main focus on Structural Heart Disease and valvulopathies, Coronary Artery Disease and Cardiovascular Imaging. On the other hand, he has been investigating potential applications of Machine Learning in Cardiovascular Medicine. More specifically, he has been collaborating with Data Scientists in Europe and Greece to evaluate the use of Machine Learning in clinical outcomes research, clinical phenotyping and particularly the development of novel applications to address daily clinical needs in Cardiology. He is the co-inventor of a new Machine Learning-based technique for quantitative analysis of the right ventricle using two-dimensional echocardiography only, for which he holds an international patent.
Polydoros believes that careful selection of ideas and data, excellent multidisciplinary collaboration and hard work can lead to ground breaking Machine Learning applications in Cardiology and Medicine that can move the field forward and have an impact in the daily care of patients. He is inspired by excellence in practicing Cardiology and performing meaningful research.

Meeting Link: https://uoa.webex.com/uoa/j.php?MTID=m54e2d2df887a011b3da72379a3ac2de8
Meeting Number: 2783 870 8869
Password: r72dGJPfgi2

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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