MedCognetics Partners with HWRF to Deploy AI-Enabled Mobile Mammography Units in India
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The mobile units integrate MedCognetics’ AI platform using an edge-based deployment model, enabling real-time image processing and decision support even in areas with limited or unreliable connectivity.
MedCognetics, a Dallas-based medical imaging AI company and a member of Amazon Web Services (AWS) Partner Network, has partnered with the Health Within Reach Foundation (HWRF), a Pune-based nonprofit organization, to deploy AI-enabled mobile mammography units across India.
The initiative is aimed at enhancing early detection of breast cancer and introduces one of India’s first AI-enabled mobile mammography programs.
By bringing screening devices to underserved and remote rural regions, the initiative seeks to reduce delays in diagnosis and improve survival outcomes.
Speaking about the new partnership, Dr. Mudassar Shaikh, Chief Medical Officer, Health Within Reach Foundation. “This collaboration allows us to deliver breast cancer screening directly to women in underserved urban centers and remote rural areas, where early detection can make the difference between life and death. With AI integrated into our mobile units, we can reach more patients, more efficiently, and with greater confidence in the results.”
The initiative aligns with AWS’ “AI for Good” mission, which supports projects leveraging artificial intelligence and machine learning to address urgent and critical challenges.
The mobile units integrate MedCognetics’ AI platform using an edge-based deployment model, enabling real-time image processing and decision support even in areas with limited or unreliable connectivity.
The system is expected to strengthen diagnostic efficiency while improving access to breast cancer screening for women in underserved and remote regions, who would otherwise face significant barriers to care and healthcare facilities.
Commenting on the new initiative, Debasish Nag, CEO of MedCognetics, said, “This initiative demonstrates how advanced technology can overcome geographic and infrastructure barriers, bringing high-quality care to communities that have historically been left behind.”
As per MedCognetics, the collaboration reflects its broader strategy to develop unbiased, scalable AI-driven medical imaging solutions that can operate across any deployment model, whether edge, cloud, or hybrid.
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