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

Robert Jones and Agnes Hunt Orthopaedic and District NHS Trust100 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

100

Conditions

Bone Tumours Bone Infection Prosthetic Joint Infection Prosthetic Infection

Interventions

Genomic sequencingDIAGNOSTIC_TEST

Sequencing data

Histological examinationDIAGNOSTIC_TEST

Images for deep learning

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: Suspected infection of bone tumour and biopsy taken for analysis Exclusion Criteria: Patient doesn't consent

Locations (1)

Robert Jones and Agnes Hunt Orthopaedic Hospital NHS Trust

Oswestry, Shropsire, United Kingdom

Outcomes

Primary Outcomes

Sequencing data and identification

Identification of infection and tumours using sequencing data

Time frame: 3 years

Histological slides and identification

Deep learning using histological images

Time frame: 3 years

Data from ClinicalTrials.gov

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