Condition: Artificial Intelligence · Machine Learning · Electronic Medical Records · Sponsor: AHEPA University Hospital
The purpose of this study is to highlight the usefulness of artificial intelligence and machine learning to develop computer algorithms that will achieve with great reliability, speed and accuracy the automatic extraction and processing of large volumes of raw and unstructured clinical data from electronic medical files.
This description comes directly from the study's public registry record.
George Giannakoulas, MD, PhD · 2310994830 · ggiannakoulas@auth.gr
Athanasios Samaras, MD · 2310994830 · ath.samaras.as@gmail.com
Always discuss trial participation with your own doctor first.
| University Cardiology Clinic, Democritus University of Thrace | Alexandroupoli, Greece | Not Yet Recruiting |
| 1st Department of Cardiology, Hippokration General Hospital | Athens, Greece | Recruiting |
| Department of Cardiology, Heraklion University Hospital | Heraklion, Greece | Not Yet Recruiting |
| University General Hospital of Larissa, University of Thessaly | Larissa, Greece | Recruiting |
| Department of Cardiology, University of Patras Medical School | Pátrai, Greece | Recruiting |
| 1st Cardiology Department, AHEPA University Hospital | Thessaloniki, Greece | Recruiting |
| 3rd Cardiology Department, Hippokration Hospital | Thessaloniki, Greece | Not Yet Recruiting |
| Cardiology Department, George Papanikolaou General Hospital | Thessaloniki, Greece | Recruiting |
| Laboratory of Medical Physics, Aristotle University of Thessaloniki | Thessaloniki, Greece | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05176769