OUR SOLUTION
AI CAD SOLUTION FOR AUTOMATED BREAST ULTRASOUND
MONCAD ABS deep learning-based solutions help detect and quantify lesions, improving the accuracy and efficiency of breast cancer screening.
MONCAD ABS OVERVIEW
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Computer aided detection / diagnosis* software for 3D automatic breast ultrasound images
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Deep learning-based soultion to help detect and quantify lesions
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Automatically gereates analysis reports with detected lesion information *Work in progress
CERTIFICATION
MONCAD ABS_Korea MFDS : [Product Name] Ultrasound image, computer aided detection / diagnosis software, class II /[Product License No.] 제허 21-5077호 [Date of Initial Approval] 29 December 2021
[Validity Period] 29 December 2020 – 29 December 2026 [Issuer] The Ministry of Food and Drug Safety
FEATURES
CAN DETECT ABNORMAL LESIONS IN ABUS IMAGES
COMPATIBILITY
Seamless integration with Invenia ABUS workstation
AUTOMATION
Automatically detects abnormal areas and moves to the said regions with one click
CUSTOMIZATION
3 Sensitivity settings that can be adjusted to match the current task/workflow
EFFICIENCY
The entire process is fully automated, speeding up the interpretation process
ANALYSIS TIME
6 volumes can be analysed in 10~15 minutes on average
1
Scan with
ABS scanner
2
Analyze scanned images with ABS
3
Share analyzed contents with workstation
4
Send organized analysis
to hospital system
ABS WORKFLOW OVERVIEW
ABS WORKFLOW OVERVIEW
ABS REPORT
OUTLINE
VALIDATION
A STUDY ON THE EFFECTS THAT MAY ARISE WHEN UTILIZING CAD IN THE INTERPRETATION OF ABUS IMAGES
The supplemental use of AI-CAD improved the diagnostic performance of radiologists, suggesting that AI-CAD software could be used as a diagnostic support tool.
CAD +
CAD -
(Academic Radiology, 2023)
AUC
92%
87%
SPECIFICITY
81%
77%
SENSITIVITY
92%
88%
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