Carebot AI MMG
Carebot AI MMG analyzes standard 2D full-field digital mammography studies, highlights suspicious findings and assigns study-level risk categories to support radiologists during screening and diagnostic review.
Carebot AI MMG
Carebot AI MMG analyzes standard 2D full-field digital mammography studies, highlights suspicious findings and assigns study-level risk categories to support radiologists during screening and diagnostic review.
Carebot AI MMG
Carebot AI MMG analyzes standard 2D full-field digital mammography studies, highlights suspicious findings and assigns study-level risk categories to support radiologists during screening and diagnostic review.
sensitivity at the high-sensitivity operating point'
negative predictive value²
binary accuracy for PGMI image-quality triage³
sensitivity at the high-sensitivity operating point'
negative predictive value²
binary accuracy for PGMI image-quality triage³
sensitivity at the high-sensitivity operating point'
negative predictive value²
binary accuracy for PGMI image-quality triage³
How it looks in practice
See how Carebot works in practice. Compare the image with AI and without AI.
Without Carebot
With Carebot
How it looks in practice
See how Carebot works in practice. Compare the image with AI and without AI.
Without Carebot
With Carebot
How it looks in practice
See how Carebot works in practice. Compare the image with AI and without AI.
Without Carebot
With Carebot
Overview of detected findings
The solution automatically identifies suspicious regions and lesions in breast tissue and assigns a malignancy risk score. It also performs automatic BI-RADS breast density classification as a decision-support tool for the evaluation of mammographic examinations
Architectural Distortion
Benign Structural Changes
Malignant Lesion
Breast Tissue Density
Overview of detected findings
The solution automatically identifies suspicious regions and lesions in breast tissue and assigns a malignancy risk score. It also performs automatic BI-RADS breast density classification as a decision-support tool for the evaluation of mammographic examinations
Architectural Distortion
Benign Structural Changes
Malignant Lesion
Breast Tissue Density
Overview of detected findings
The solution automatically identifies suspicious regions and lesions in breast tissue and assigns a malignancy risk score. It also performs automatic BI-RADS breast density classification as a decision-support tool for the evaluation of mammographic examinations
Architectural Distortion
Benign Structural Changes
Malignant Lesion
Breast Tissue Density
Detected findings are clearly highlighted in the mammographic views, making them easier to locate and enabling faster assessment of the examination.
Detected findings are clearly highlighted in the mammographic views, making them easier to locate and enabling faster assessment of the examination.
Detected findings are clearly highlighted in the mammographic views, making them easier to locate and enabling faster assessment of the examination.
WHY DO RADIOLOGY TEAMS CHOOSE CAREBOT AI MMG?
Carebot AI MMG combines suspicious-finding detection, study-level risk categorization and acquisition-quality support for standard digital mammography.
AI-supported reading
Supports radiologists in interpreting standard digital mammography studies with highlighted areas and AI-generated risk categories.
Risk stratification
Returns Low, Medium or High Risk categories to support triage, prioritization and consistent review of mammography examinations.
Acquisition quality assurance
Assesses mammography positioning and acquisition quality with PGMI-oriented QA outputs and defect-level feedback for review.
Works inside the existing workflow
Carebot AI MMG is designed to work with DICOM/PACS workflows, so radiologists can review AI marks, risk outputs and QA findings inside their familiar reading process. The physician remains responsible for the final interpretation.
WHY DO RADIOLOGY TEAMS CHOOSE CAREBOT AI MMG?
Carebot AI MMG combines suspicious-finding detection, study-level risk categorization and acquisition-quality support for standard digital mammography.
AI-supported reading
Supports radiologists in interpreting standard digital mammography studies with highlighted areas and AI-generated risk categories.
Risk stratification
Returns Low, Medium or High Risk categories to support triage, prioritization and consistent review of mammography examinations.
Acquisition quality assurance
Assesses mammography positioning and acquisition quality with PGMI-oriented QA outputs and defect-level feedback for review.
Works inside the existing workflow
Carebot AI MMG is designed to work with DICOM/PACS workflows, so radiologists can review AI marks, risk outputs and QA findings inside their familiar reading process. The physician remains responsible for the final interpretation.
WHY DO RADIOLOGY TEAMS CHOOSE CAREBOT AI MMG?
Carebot AI MMG combines suspicious-finding detection, study-level risk categorization and acquisition-quality support for standard digital mammography.
AI-supported reading
Supports radiologists in interpreting standard digital mammography studies with highlighted areas and AI-generated risk categories.
Risk stratification
Returns Low, Medium or High Risk categories to support triage, prioritization and consistent review of mammography examinations.
Acquisition quality assurance
Assesses mammography positioning and acquisition quality with PGMI-oriented QA outputs and defect-level feedback for review.
Works inside the existing workflow
Carebot AI MMG is designed to work with DICOM/PACS workflows, so radiologists can review AI marks, risk outputs and QA findings inside their familiar reading process. The physician remains responsible for the final interpretation.
"My current role is to initiate certain trends and pave the way for new artificial intelligence applications to enter healthcare practice."
Prof. Jan Daneš, MD, PhD
A physician and university professor specializing in radiology and breast imaging.
"My current role is to initiate certain trends and pave the way for new artificial intelligence applications to enter healthcare practice."
Prof. Jan Daneš, MD, PhD
A physician and university professor specializing in radiology and breast imaging.
"My current role is to initiate certain trends and pave the way for new artificial intelligence applications to enter healthcare practice."
Prof. Jan Daneš, MD, PhD
A physician and university professor specializing in radiology and breast imaging.
Partners and awards
Already used by hundreds of institutions
Partners and awards
Already used by hundreds of institutions
Partners and awards
Already used by hundreds of institutions
How Carebot fits into your practice
Everything runs in the background directly in PACS. The physician has the final say and does not have to change their existing way of working.
Assistance with image evaluation
Carebot automatically marks suspicious areas on the image and adds a short text description. The physician then decides what to confirm.
Review of descriptions by physicians
Once the physician finishes the report, they can compare their findings with Carebot’s output to verify that nothing has been overlooked.
Prioritization of urgent findings
If the AI finds something serious, the image is automatically flagged and the physician is notified to address the patient’s findings as soon as possible.
How Carebot fits into your practice
Everything runs in the background directly in PACS. The physician has the final say and does not have to change their existing way of working.
Assistance with image evaluation
Carebot automatically marks suspicious areas on the image and adds a short text description. The physician then decides what to confirm.
Review of descriptions by physicians
Once the physician finishes the report, they can compare their findings with Carebot’s output to verify that nothing has been overlooked.
Prioritization of urgent findings
If the AI finds something serious, the image is automatically flagged and the physician is notified to address the patient’s findings as soon as possible.
How Carebot fits into your practice
Everything runs in the background directly in PACS. The physician has the final say and does not have to change their existing way of working.
Assistance with image evaluation
Carebot automatically marks suspicious areas on the image and adds a short text description. The physician then decides what to confirm.
Review of descriptions by physicians
Once the physician finishes the report, they can compare their findings with Carebot’s output to verify that nothing has been overlooked.
Prioritization of urgent findings
If the AI finds something serious, the image is automatically flagged and the physician is notified to address the patient’s findings as soon as possible.
Proven in Practice
40+ published studies in leading peer-reviewed journals
Check out case studies, independent clinical evidence, and a map of locations where Carebot is already helping doctors.
Proven in Practice
40+ published studies in leading peer-reviewed journals
Check out case studies, independent clinical evidence, and a map of locations where Carebot is already helping doctors.
Proven in Practice
40+ published studies in leading peer-reviewed journals
Check out case studies, independent clinical evidence, and a map of locations where Carebot is already helping doctors.
¹ Kvaková, K., Biroš, M., Steyerová, P., Gruberová, A., Sekerak Mišenková, K., Kvak, D., & Dandár, J. (2026). Does AI add value to mammography? Evaluating the diagnostic accuracy of AI software in a multicentre, multi-reader, non-inferiority study. In Computational systems and artificial intelligence: Proceedings of the International Conference on Applied Computing (CAC 2026). Springer Nature.
² Kvak, D., Kvaková, K., & Biroš, M. (2026). Diagnostic performance of an AI system for mammography risk assessment: Low-prevalence retrospective study. In Proceedings of the 2nd International Conference on AI in Medicine and Healthcare (AiMH’ 2026). IFSA Publishing.
³ Jarolímová, A., Harmanec, A., Biroš, M., Holaj, J., Dandár, J., & Kvak, D. (2026). Automated quality assurance of mammography positioning using an AI-supported PGMI module: A multicentre retrospective study. In International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD). Springer Nature.
Would you like to test Carebot directly at your workplace?
Schedule a pilot run. Contact us and our application specialist will guide you through the entire process. Together, we will design a procedure, implement the solution in your PACS, obtain approval from the legal department, and train your doctors. No complicated adjustments, just real benefits.
Would you like to test Carebot directly at your workplace?
Schedule a pilot run. Contact us and our application specialist will guide you through the entire process. Together, we will design a procedure, implement the solution in your PACS, obtain approval from the legal department, and train your doctors. No complicated adjustments, just real benefits.
Would you like to test Carebot directly at your workplace?
Schedule a pilot run. Contact us and our application specialist will guide you through the entire process. Together, we will design a procedure, implement the solution in your PACS, obtain approval from the legal department, and train your doctors. No complicated adjustments, just real benefits.
MRI
Coming soon
Follow us
Technical support
Our AI tools are designed to be a reliable partner, not an obstacle. If you need help, you can find answers to frequently asked questions and contact details for our team here.
support@carebot.com +420 727 843 415
Website made by 2FRESH
MRI
Coming soon
Follow us
Technical support
Our AI tools are designed to be a reliable partner, not an obstacle. If you need help, you can find answers to frequently asked questions and contact details for our team here.
support@carebot.com +420 727 843 415
Website made by 2FRESH
MRI
Coming soon
Follow us
Technical support
Our AI tools are designed to be a reliable partner, not an obstacle. If you need help, you can find answers to frequently asked questions and contact details for our team here.
support@carebot.com +420 727 843 415
Website made by 2FRESH