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Covid Radiographic Images Data-set for A.I

NCT04419545 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2500

Last updated 2020-06-05

No results posted yet for this study

Summary

The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the Artificial intelligence community. In this study we provide insights and also raise warnings on what is reasonable to expect by applying deep learning to COVID classification of CXR images. We provide a methodological guide and critical reading of an extensive set of statistical results that can be obtained using currently available datasets. In particular, we take the challenge posed by current small size COVID data and show how significant can be the bias introduced by transfer-learning using larger public non- COVID CXR datasets. We also contribute by providing results on a medium size COVID CXR dataset, just collected by one of the major emergency hospitals in Northern Italy during the peak of the COVID pandemic. These novel data allow us to contribute to validate the generalization capacity of preliminary results circulating in the scientific community. Our conclusions shed some light into the possibility to effectively discriminate COVID using CXR.

Conditions

  • Radiology
  • Artificial Intelligence

Interventions

DIAGNOSTIC_TEST

Neural network diagnosis algorithm

we feed neural network with chest x-ray radiography images for teaching the network for automatic diagnosis of interstitial pneumonia

Sponsors & Collaborators

  • University of Turin, Italy

    collaborator OTHER

  • Azienda Ospedaliera Ordine Mauriziano di Torino

    collaborator OTHER

  • A.O.U. Città della Salute e della Scienza

    lead OTHER

Principal Investigators

  • Giorgio Limerutti, M.D. · Radiology Unit A.O.U. Città della Salute e della Scienza

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-24
Primary Completion
2020-12-31
Completion
2021-03-31

Countries

  • Italy

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 NCT04419545 on ClinicalTrials.gov