Breast Cancer is the leading cause of cancer among women, worldwide, and in lower-resourced countries the death rate more than doubles.
The use of artificial intelligence can be applied to digital mammography to improve the efficiency and accuracy of the radiologist. Our AI platform RADIFY™ is designed to identify regions suspicious for breast cancer on 2 dimensional mammograms, to assess their likelihood of malignancy.
Mammography relies on a specialist radiologist for interpretation.
Less than 1 radiologist
per 100 000 people
in Africa
10 radiologists
per 100 000 people
in Europe
How we can help Radiologists:
With the concurrent use of RADIFY™ for mammography, we can improve the accuracy and effectiveness of detecting breast cancer.
Highlights regions of interest which can be compared on follow–up studies
Use to prioritise scans during case overload
Reducing turn-around -time will increase the number of patients served
Use as a triage system to identify patients most need of urgent care
Let us call you back.
RADIFY™ – use case 1.
Screening mammogram of a 53 year old female.
Left MLO view demonstrating two benign lesions detected by RADIFY™ in the left mid and outer regions. Ultrasound confirmed benign mass and classified as BIRADS 3.
RADIFY™ – use case 2.
Screening mammogram of a 47 year old female.
Left breast MLO view demonstrating two lesions detected by RADIFY™. One benign lesion and a second mass with malignant features confirmed on ultrasound and biopsy.