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AIIMS Transfers AI Mammography Technology to BPL Technologies
AIIMS created a computer-based tool that helps doctors read mammograms.
Mammograms are images used to examine breasts.
The tool is meant to support radiologists during their work.
It may be especially useful in places with few breast-imaging specialists.
AIIMS has transferred the technology to BPL Technologies.
The company and the institute can now work on improving and testing it.
The project was developed by medical and machine-learning researchers.
It could eventually be used in healthcare if further validation supports clinical implementation.
AIIMS-Delhi transferred an artificial intelligence-based mammography interpretation technology to BPL Technologies Ltd.
The technology is designed to support radiologists, especially where specialised breast-imaging experts are limited.
The transfer took place on September 16 in the presence of AIIMS Director Dr Nikhil Tandon and BPL Technologies CFO Ajay Jindal.
The project was developed by AIIMS radiology and machine-learning engineering teams with Ministry of Education funding.
The collaboration will support further development, validation and potential clinical implementation of the technology.
- Who
- The All India Institute of Medical Sciences and BPL Technologies Ltd, with researchers from AIIMS radiology and machine-learning teams.
- What
- AIIMS transferred an artificial intelligence-based mammography interpretation technology to BPL Technologies.
- Where
- At AIIMS in New Delhi, India.
- When
- The technology transfer took place on September 16; the announcement was reported on September 17.
- Why
- To enable further development, validation and potential clinical use of a tool designed to support radiologists, particularly where specialised breast-imaging experts are limited.
Key facts
- Technology
- Artificial intelligence-based mammography interpretation model
- Transferring institution
- All India Institute of Medical Sciences, Delhi
- Recipient
- BPL Technologies Ltd
- Transfer date
- September 16
- Development teams
- AIIMS radiology and machine-learning engineering teams
- Funding
- Ministry of Education
- Potential use
- Supporting radiologists and potentially improving access to breast-imaging expertise
Sources
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