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Artificial Intelligence in the Diagnosis of Orthopaedic Conditions, Particularly Bone Tumours and Infection

NCT04746001 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2021-11-11

No results posted yet for this study

Summary

Translational research aimed at improving diagnostic accuracy of musculoskeletal infection and musculoskeletal tumours using machine learning applied to clinical data, histopathological sections and genomic sequencing.

Conditions

  • Bone Tumours
  • Bone Infection
  • Prosthetic Joint Infection
  • Prosthetic Infection

Interventions

DIAGNOSTIC_TEST

Genomic sequencing

Sequencing data

DIAGNOSTIC_TEST

Histological examination

Images for deep learning

Sponsors & Collaborators

  • Keele University

    collaborator OTHER

  • Robert Jones and Agnes Hunt Orthopaedic and District NHS Trust

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-28
Primary Completion
2024-01-01
Completion
2024-07-01

Countries

  • United Kingdom

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 NCT04746001 on ClinicalTrials.gov