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

NCT05176769 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 60000

Last updated 2025-01-29

No results posted yet for this study

Summary

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.

Conditions

  • Artificial Intelligence
  • Machine Learning
  • Electronic Medical Records

Sponsors & Collaborators

  • Hippokration Hospital Athens

    collaborator UNKNOWN

  • General Hospital of Larissa

    collaborator OTHER

  • University Hospital, Alexandroupolis

    collaborator OTHER

  • University General Hospital of Patras

    collaborator OTHER

  • University General Hospital of Heraklion

    collaborator OTHER

  • George Papanicolaou Hospital

    collaborator OTHER

  • Ippokrateio General Hospital of Thessaloniki

    collaborator OTHER

  • AHEPA University Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-14
Primary Completion
2025-12-01
Completion
2026-03-01

Countries

  • Greece

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05176769 on ClinicalTrials.gov