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An Enhanced Artificial Intelligence Breast MRI Interpretation System

NCT03829423 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1526

Last updated 2019-02-06

No results posted yet for this study

Summary

Interpretation of breast MR images is a very time-consuming process and places a great burden on breast radiologists. This project aims to develop a technical solution that addresses this healthcare challenge by developing a system that is able to automatically interpret breast MR images in order to aid the radiologist in their diagnosis.

Conditions

Interventions

DIAGNOSTIC_TEST

Breast MRI interpretation

Analysis and interpretation of breast MRI sequences by a specially developed breast MRI interpretation algorithm

Sponsors & Collaborators

  • Brunel University London

    collaborator UNKNOWN

  • First Option Software Ltd.

    collaborator UNKNOWN

  • Jamil Kanfoud

    lead OTHER

Principal Investigators

  • Steve Dennis, B.Sc. · First Option Software

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
SINGLE_GROUP

Eligibility

Min Age
20 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-04-30
Primary Completion
2020-01-31
Completion
2020-07-31

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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 NCT03829423 on ClinicalTrials.gov