14:I[94367,["/_next/static/immutable/chunks/4370mg0uq-myq.js","/_next/static/immutable/chunks/0q7ni_ir0mogv.js","/_next/static/immutable/chunks/0q9_4lzwjwc3f.js","/_next/static/immutable/chunks/1p8rnjckwz-06.js","/_next/static/immutable/chunks/3zikwth1q5z_-.js","/_next/static/immutable/chunks/0eigul57_x91p.js","/_next/static/immutable/chunks/3r0kxtkfnobr8.js","/_next/static/immutable/chunks/260mvqou7a4l3.js","/_next/static/immutable/chunks/14bkwvgoktej3.js"],"NewsDetailPage"] 15:T10bb,

Artificial intelligence is increasingly being explored as a support tool in medical imaging, particularly in areas where access to specialised expertise may be limited. A new development from AIIMS New Delhi is taking an AI-based mammography interpretation model one step closer to potential clinical application through an industry-academia technology transfer.

The All India Institute of Medical Sciences (AIIMS), New Delhi, has transferred an AI-based mammography interpretation technology developed at the institute to BPL Technologies Limited. The technology transfer took place on 16 September 2026 at AIIMS New Delhi and is intended to facilitate further development, validation and potential clinical use of the technology.

The AI-based model has been developed to assist with the interpretation of mammography examinations, with particular relevance to healthcare settings where specialised breast-imaging expertise may not be readily available. The system is designed as a support tool for radiologists rather than as a replacement for specialist interpretation.

The initiative represents a collaboration between AIIMS' radiology and machine-learning engineering teams and the medical-technology industry. Researchers and clinicians involved in the project included members of the Department of Radiology and AIIMS' machine-learning engineering team. The project was also supported through funding from the Ministry of Education.

Dr Nikhil Tandon, Director, AIIMS New Delhi, highlighted the importance of translating research generated within academic institutions into technologies that can address real-world healthcare requirements. The technology transfer provides a pathway for the AI model to undergo additional development and validation before any potential implementation in clinical settings.

The development is particularly relevant to breast imaging and cancer screening, where timely interpretation of mammograms can play an important role in identifying suspicious findings. AI-assisted interpretation tools are being explored internationally as a means of supporting radiologists and potentially improving access to imaging expertise, particularly in locations with limited specialist availability.

The transfer to BPL Technologies does not itself represent widespread clinical deployment of the technology. AIIMS has stated that the model will move towards further development, validation and potential implementation, making subsequent validation an important step before assessing its performance and suitability for routine clinical use.

The initiative highlights the growing role of industry-academia partnerships in healthcare innovation, where research developed within medical institutions can progress towards technology development and eventual clinical applications. It also demonstrates how AI, radiology, and medical-device expertise can converge to address challenges in diagnostic healthcare.

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