The project’s dissemination efforts encompass the design and execution of various publicity and outreach initiatives, including the development of a website, organization of workshops and conferences, and publication in scientific journals.
Dissemination
The purpose of the project is to:
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Inform the scientific and business community about the EUKARDIA project. |
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Inform the members of the general public about the methodology, the novelty and the results of the project in a simple and understandable way. |
Organisation of Symposiums/Congresses
Presentations at conferences
- “Development of a Machine Learning model for 10-year prediction of cardiovascular disease: Preliminary Study”, P. Dimitrakopoulos, K. Petrou, A. Ploussi, D. Panagiotakos , A. Manginas, I. Dimitrakopoulos, E. Efstathopoulos, oral presentation, 10th Panhellenic Conference on Biomedical Technology, 6-8 October 2023, Thessaloniki Concert Hall, Thessaloniki, Greece
- “Investigation of the optimal machine and deep learning algorithm for the prediction of 10-year cardiovascular disease risk”, Dimitrakopoulos P., Petrou K., Dimitrakopoulos I., Grigoriadis E., Venetis S., Panagiotakos D., Alamani E., Ploussi A., Manginas A., Efstathopoulos E., e-poster, 1st Panhellenic Conference of Natural Sciences in Health: Innovations and Prospects, 22-23 September 2023, Athens War Museum, Greece
- “Comparing the performance of an artificial intelligence model with the statistical model HellenicSCORE for 10-year cardiovascular risk prediction “, Alamani E., Dimitrakopoulos P., Petrou K., Dimitrakopoulos I., Pantos I., Ploussi A., Efstathopoulos E., Panagiotakos D., Manginas A., e-poster, 1st Panhellenic Conference of Natural Sciences in Health: Innovations and Prospects, 22-23 September 2023, Athens War Museum, Greece
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The Heart and the Machines: The Role of Artificial Intelligence in Cardiovascular Diseases, G. Broumpoulis, A. Ploussi, G. Siasos, A. Manginas, E. P. Efstathopoulos, e-poster, European Congress of Radiology ECR-2022, 13-17 July, Vienna, Austria.
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Þ Artificial Intelligence-based models for predicting cardiovascular disease risk, G. Broumpoulis, A. Ploussi, G. Siasos, E. P. Efstathopoulos, e-poster, 1st Panhellenic Conference on Medical Physics, 23-25 September 2022, Royal Olympic Hotel, Athens, Greece.