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Artificial Intelligence in Diagnosis of DFNA9

NCT04331015 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 111

Last updated 2020-04-03

No results posted yet for this study

Summary

To study the positive predictive value of Audiogene v.4.0 open source online machine learning tool in accurately predicting DFNA9 (DeaFNess autosomal dominant ninth) as top 3 gene loci in a large series of genetically confirmed c.151C\>T,p.Pro51Ser (p.P51S) variant carriers in COCH (coagulation factor C Homology).

Conditions

  • DFNA9
  • Sensorineural Hearing Loss

Interventions

DIAGNOSTIC_TEST

Pure tone audiometry

pure tone audiometry

Sponsors & Collaborators

  • Jessa Hospital

    lead OTHER

Principal Investigators

  • Vincent Van Rompaey, MD,PhD · University Hospital, Antwerp

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-02-01
Primary Completion
2020-03-28
Completion
2020-03-28

Countries

  • Belgium

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 NCT04331015 on ClinicalTrials.gov