Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Citation:

Bikia V, Papaioannou TG, Pagoulatou S, Rovas G, Oikonomou E, Siasos G, Tousoulis D, Stergiopulos N. Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning. Scientific Reports [Internet]. 2020;10(1).

Notes:

Cited By :1Export Date: 11 April 2021

Website

Contact Details

National and Kapodistrian University of Athens
Medical School
Biomedical Engineering Department
Mikras Asias 75, Athens 115 27 (campus, Building 14)
tel: (+30) 210 7462077
E-mail: thepap@med.uoa.gr

Recent Publications

Development of hypertension in individuals with high normal blood pressure is related with sympathetic drive, arterial stiffness, and exercise blood pressure
24-hour isolated aortic systolic hypertension phenotype and its association with carotid and cardiac damage: the SAFAR study
Undergraduate Medical Education During the Pandemic: How do Academic Staff Members in Greece and Cyprus Feel About it?
Rethinking Fluid Responsiveness during Septic Shock: Ameliorate Accuracy of Noninvasive Cardiac Output Measurements through Evaluation of Arterial Biomechanical Properties
Three-Dimensional Printing Technology in Drug Design and Development: Feasibility, Challenges, and Potential Applications

More <embed>

Publications per year

2025 (2)
2024 (3)
2023 (4)
2022 (8)
2021 (15)
2020 (38)
2019 (45)
2018 (31)
2017 (55)
2016 (57)

<embed>

Theodoros Papaioannou

Professor, Medicine