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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04746001
Acronym
AIortho
Enrollment
100
Registered
2021-02-09
Start date
2021-06-28
Completion date
2024-07-01
Last updated
2021-11-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bone Infection, Bone Tumours, Prosthetic Infection, Prosthetic Joint Infection

Brief 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.

Interventions

DIAGNOSTIC_TESTGenomic sequencing

Sequencing data

DIAGNOSTIC_TESTHistological examination

Images for deep learning

Sponsors

Keele University
CollaboratorOTHER
Robert Jones and Agnes Hunt Orthopaedic and District NHS Trust
Lead SponsorOTHER_GOV

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Suspected infection of bone tumour and biopsy taken for analysis

Exclusion criteria

Patient doesn't consent

Design outcomes

Primary

MeasureTime frameDescription
Sequencing data and identification3 yearsIdentification of infection and tumours using sequencing data
Histological slides and identification3 yearsDeep learning using histological images

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026