Artificial Intelligence for Automated Clinical Data Exploration From Electronic Medical Records (CardioMining-AI)

Recruiting Observational Study
Artificial Intelligence Machine Learning Electronic Medical Records
No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
60,000 (estimated)
Sponsor
AHEPA University Hospital · Other
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About This Trial

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.

Trial Locations
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Eligibility Criteria
Inclusion Criteria: * Hospitalised patients in Cardiology Departments in Greece * Patients whose medical records are electronically stored in each hospital's computer/information systems Exclusion Criteria: * Patients that died during hospitalization, and thus no discharge letter was issued
Contacts

George Giannakoulas, MD, PhD

2310994830

ggiannakoulas@auth.gr

CONTACT

Athanasios Samaras, MD

2310994830

ath.samaras.as@gmail.com

CONTACT