NIRAMAI Health Analytix delivers AI-powered breast cancer detection at 90% accuracy with Google Cloud
Breast cancer is the leading cancer for women in India, with mortality rates as high as 50%, yet mammography machines cost over US$200,000 — unaffordable for most Indian hospitals — and the technique is less effective for younger women with dense breasts. Medical practitioners also struggled to interpret thermography images accurately.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Thermal image capture
A high-resolution thermal sensing device and cloud-hosted analytics solution combine to enable intelligent analysis of thermal images.
NIRAMAI's AI engine achieves 90% accuracy, a 27% higher accuracy rate than mammography, a 70% higher positive predictive value than visual thermography interpretation, and is effective for 32% more patients. The solution has been tested on over 7,500 women and scaled to 25 installations.
What failed first
Visual interpretation of thermography had a significantly lower positive predictive value than the AI approach, and mammography — the standard alternative — was radiation-based, restricted in frequency of use, and prohibitively expensive for widespread deployment in India.