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

StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated January 29, 2025 (before its estimated December 1, 2025 completion). Its status may not reflect the trial's current state.

Record History

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  1. Primary completion date: Dec 1, 2024 to Dec 1, 2025
    • Study completion date: Mar 1, 2025 to Mar 1, 2026
    v6
  2. Re-verified, no change to tracked fieldsv5
  3. Primary completion date: Dec 1, 2022 to Dec 1, 2024
    • Study sites: 10 to 9
    • Study completion date: Mar 1, 2023 to Mar 1, 2025
    • Collaborators: 8 to 7
    v4
  4. Enrollment target: 10000 to 60000v3 Show 5 more changesShow less
    • Study sites: 1 to 10
    • Eligibility criteria shortened, about 8 words
    • Study description revised
    • Collaborators expanded, about 31 words
    • Study title expanded, about 1 word
  5. Trial status: Not Yet Recruiting to Recruitingv2 Show 4 more changesShow less
    • Start date changed from estimate of Jan 15, 2022 to Jan 14, 2022
    • Secondary endpoints: 3 to 5
    • Study description revised
    • Site details revised
  6. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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 Details
NCT Number NCT05176769
Lead Sponsor AHEPA University Hospital
Collaborators: Hippokration Hospital Athens, General Hospital of Larissa, University Hospital, Alexandroupolis, University General Hospital of Patras, University General Hospital of Heraklion, George Papanicolaou Hospital, Ippokrateio General Hospital of Thessaloniki
Conditions
(from sponsor)		 Artificial Intelligence, Machine Learning, Electronic Medical Records
Enrollment 60,000 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov