EXPIRED: Elaitra
At Elaitra, we are creating a prototype AI-enabled clinical workflow that can interpret both FFDM and DBT images and automatically detect abnormal results.
This application will improve early diagnosis of breast cancers and reduce the time spent interpreting results to free clinicians for other complex tasks.
Our AI tool is based on deep learning algorithms that learn to detect malignant and benign features from annotated scans. Drawing on state of the art object detection research, the prototype will leverage both FFDM and DBT imaging data in the NHS to provide greater reliability in its assessment compared to one image type alone.
The system assigns a risk score to suspicious objects in the scans and calculate the probability of cancer in each patient. High-risk cases can be prioritised within the workflow for immediate specialist assessment, while low risk cases could avoid the need for human review at all.
Our novel system will provide a more reliable detection of breast cancer, enable health services to optimise the use of highly trained but scarce staff resources and reduce the economic burden on the NHS.
Currently raising funds via Oxford Investment Opportunity Network.
Raising: | £350,000 |
Deadline: | 12-06-2022 |
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