Netherlands Cancer Institute
Amsterdam, Netherlands
NCT Number: NCT06727032
This reader study aims at assessing whether the radiologist aided with AI software has at least a non-inferior performance than without AI assistance in detecting brain metastases.
200 retrospective MRI images will be included in the study with 100 positive and 100 negative exams.
Assessment will be completed by 12 readers with varying level of experience. This is a Retrospective Multiple-Reader Multiple-Case (MRMC) randomised study.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Amsterdam, Netherlands
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
There will be no intervention
Time frame: 3 months
Demonstrate that the accuracy for detecting brain metastases by radiologists on MRI using the software (AIDED) is at least non-inferior to that of radiologists not using the software (UNAIDED).
Time frame: 3 months
Demonstrate that the AIDED radiologists reading time for detecting brain metastases is significantly lower than for UNAIDED radiologists.
Time frame: 3 months
Demonstrate that AIDED reading reduces detection variation between observers/readers in brain metastasis detection.
Robovision BV
Industry
Validation of an AI Software for Detection of Brain Metastases on MRI: AIDED Versus UNAIDED Performance
Acronym: BrainMets AI
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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