Evaluation of Carebot AI MMG Medical Device for Breast Lesion Detection and Density Assessment
EMBLEDDA-MMG
1 other identifier
observational
122
1 country
3
Brief Summary
Comparison of accuracy of clinician and DLAD image evaluation (Carebot AI MMG v2.2)
- 1.Comparison of the Accuracy of Density Assessment by Clinician and DLAD (DENS)
- 2.Comparison of Accuracy of Lesion Assessment by Clinician and DLAD (MASS, CLASS)
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2022
Typical duration for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 14, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 24, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
April 24, 2024
CompletedFirst Submitted
Initial submission to the registry
May 7, 2024
CompletedFirst Posted
Study publicly available on registry
May 24, 2024
CompletedMarch 18, 2026
March 1, 2026
2.3 years
May 7, 2024
March 16, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Performance Test
A multicenter, multi-reader, retrospective study was designed to validate the clinical efficacy of the proposed Carebot AI MMG (also referred to as "DLAD"). Using a non-certified medical device, a test set of retrospectively collected mammography studies in standard projections (CC and MLO). The performance of the DLAD was evaluated against the ground truth for individual indications (breast density evaluation, breast lesion detection) using Accuracy.
2024
Secondary Outcomes (2)
Comparison of Accuracy of Clinician and DLAD Image Evaluation (Carebot AI MMG v2.2) in Breast Density Assessment
2024
Comparison of Accuracy of Clinician and DLAD Image Evaluation (Carebot AI MMG v2.2) in Breast Lesion Detection
2024
Study Arms (3)
Retrospective collection of DICOM patient files for Site 1
A total of 60 mammographic studies were retrospectively collected from Site 1 (EUC Mamocentrum Brno). The acquisition of mammography studies from Site 1 was enabled by the contract for the transfer of mammography images for medical research purposes, signed on 14 January 2022.
Retrospective collection of DICOM patient files for Site 2
A total of 28 mammographic studies were retrospectively collected from Site 2 (Hospital Šumperk, a.s.). The acquisition of mammography studies from Institution 2 was enabled by the contract for the transfer of mammography images for medical research purposes, signed on 31 January 2023.
Retrospective collection of DICOM patient files for Site 3
A total of 34 mammographic studies were retrospectively collected from Site 3 (Masaryk Memorial Cancer Institute). The acquisition of mammography studies from Institution 3 was enabled by the amendment to the contract for the transfer of X-ray images for medical research purposes, signed on 21 February 2023, which follows the contract for the transfer of X-ray images for medical research purposes, signed on 3 January 2022.
Interventions
Carebot AI MMG is a software solution that utilizes artificial intelligence methods, specifically deep learning and computer vision algorithms, to evaluate and localize suspicious regions of potential lesions during the interpretation of digital breast x-rays as part of standard mammography screening procedures. The Carebot AI MMG medical device is not intended for use in diagnostic mammography. The Carebot AI MMG is intended for use in women over the age of 18. The predictive outputs of the Carebot AI MMG medical device are intended to aid decision-making in screening clinical practice, always in conjunction with other relevant patient information and based on the professional judgment of the examining clinician. The Carebot AI MMG is specifically designed to provide a supporting layer of analysis that helps in evaluating or prioritizing mammography images with additional patient information and the professional judgment of the examining physician.
Eligibility Criteria
A total of 122 mammography studies (488 images, the so-called "test data") were obtained from the reference sites for the evaluation by radiologists and the Carebot AI MMG v2.2. The target sites used different mammography X-ray machines: Site 1 and Site 2 used the Senographe Essential mammography machine from GE HealthCare to image patients, and Site 3 used the Selenia Dimensions mammography machine from Hologic and the MAMMOMAT Revelation mammography machine from Siemens Healthineers.
You may qualify if:
- The medical device is intended for use in women over 18 years of age who are indicated for screening mammography using digital mammography.
You may not qualify if:
- The medical device cannot be used in patients with breast implants.
- The medical device cannot be used in male breast examination.
- The medical device cannot be used in patients under 18 years of age.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Carebot s.r.o.lead
Study Sites (3)
EUC Mamocentrum Brno
Brno, 60200, Czechia
Masaryk Memorial Cancer Institute
Brno, 60200, Czechia
Hospital Šumperk
Šumperk, 78701, Czechia
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 7, 2024
First Posted
May 24, 2024
Study Start
January 14, 2022
Primary Completion
April 24, 2024
Study Completion
April 24, 2024
Last Updated
March 18, 2026
Record last verified: 2026-03