The digital mammography machine aboard the van has to date screened mammogram data from more than 3,500 patients \u2014 90% of whom had never had a mammogram before. This data is triaged onsite with the help of the AI solution by MedCognetics.<\/p>\n
\u201cDeveloping countries generally have a lot of load on their existing healthcare institutions,\u201d said Dr. Mudassar Shaikh, chief medical officer of the Health Within Reach Foundation. \u201cThis tech-enabled mobile healthcare program is solving a lot of healthcare access problems because, with the help of AI, we are able to bring high-quality care to peoples\u2019 doorsteps.\u201d<\/p>\n
Of the thousands of mammograms the foundation has conducted in the last year in rural areas surrounding Pune, India, about 8% \u2014 300 or so \u2014 returned abnormal findings. The foundation refers these patients to expert doctors in the city for further testing.<\/p>\n
\u201cUsing our software built with NVIDIA technology, they identified 24 cancer-positive patients and connected them to treatment before the disease could progress further,\u201d said Ron Nag, CEO and president of MedCognetics. \u201cThis is the way I want to see AI implemented around the world, to help people.\u201d<\/p>\n
![\"Infographic](\"https:\/\/www.newsbeep.com\/ca\/wp-content\/uploads\/2025\/10\/medcog-stats-1680x672.jpg\")
<\/p>\n
MedCognetics Advances AI Screening Capabilities<\/p>\n
MedCognetics produces AI systems that are FDA-cleared as software as a medical device<\/a>. They can be deployed on the NVIDIA IGX Orin<\/a> industrial-grade edge AI platform with the NVIDIA Holoscan<\/a> platform for real-time sensor processing \u2014 or on NVIDIA Tensor Core GPUs<\/a> hosted in the cloud.<\/p>\n The company\u2019s suite of software for breast cancer screening includes algorithms for cancer triage, as well as features being prepared for regulatory submission such as cancer detection, breast density assessment and a risk analysis model that forecasts a patient\u2019s likelihood of contracting breast cancer within a year.<\/p>\n With the integration of IGX Orin, the team is developing additional capabilities including image denoising, also being prepared for regulatory submission.<\/p>\n MedCognetics\u2019 critical contribution to the Health Within Reach Women Cancer Screening Van is rapid inference<\/a> using India-based cloud resources, which lets staff quickly identify high-risk cases and connect to radiologists for prioritized reporting.<\/p>\n \u201cRadiologists don\u2019t travel with the cancer screening vans \u2014 once the van comes back to its urban hub, the mammogram images are uploaded onto our system for radiologist review,\u201d Shaikh said. \u201cIn the future, fast AI analysis through hardware on the van could let us triage patients onsite, even at the remotest of areas were connectivity is lacking.\u201d<\/p>\n When the MedCognetics software flags a potential tumor, the Health Within Reach team prioritizes that patient and immediately connects with a radiologist, sharing the patient\u2019s mammography images for detailed analysis. This enables the radiologist to decide if additional imaging is needed and ensures that high-probability cases are escalated and attended to faster.<\/p>\n \u201cOne of the biggest challenges is finding small tumors,\u201d Nag said. \u201cWhen we started, all the radiologists we spoke to said they didn\u2019t want AI to help them see tumors the size of raisins or golf balls \u2014 they wanted AI to help them see the tumors that are so small they might easily be missed.\u201d<\/p>\n![\"\"](\"https:\/\/www.newsbeep.com\/ca\/wp-content\/uploads\/2025\/10\/medcog-screening.png\")
Enhanced digital mammography requires two separate images to be captured, increasing the likelihood of patient motion causing artifacts on the image. MedCognetics\u2019 AI models can help realign the images to present radiologists with a clearer view. Image on left does not include motion suppression \u2014 image on right does.
\nEdge AI Bridges the Healthcare Accessibility Gap<\/p>\n