Breaking news: $28M raised in series C funding Read News
We focus on improving breast cancer survival rates by detecting cancers earlier and making treatment more effective and less invasive.
CE marked and FDA cleared
With the latest dedicated deep learning AI algorithms for breast cancer detection, Transpara® provides radiologists with clinically proven decision support tools. Transpara is trained on over 1 million trusted mammograms and can help with daily workflow and workload. To find out more, please contact us
NOT ALL AI IS THE SAME – FIND OUT MORE ABOUT HOW TRANSPARA CAN HELP YOU
Begin patient treatment earlier to improve survival rates
With an improvement in accuracy and reduction in false positives, Transpara aims to minimize unnecessary treatments, patient distress and associated costs
Transpara starts analysing mammograms immediately, providing objective information including level of suspicion to help the clinician with diagnosis
Radiologists face an ever-increasing workload so there is a need to work smarter whilst maintaining the highest quality levels when interpreting images. Transpara empowers radiologists to prioritise and focus on the most suspicious cases.
Client undergoes mammogram
Transpara analyses mammogram scan
Radiologist reads with support from Transpara, increasing confidence in decision
Make more accurate and consistent decision
Accuracy.
Workload Reduction.
Risk.
Another publication to add to the strong global evidence base supporting Transpara. This time in the Radiology journal, showing the
Read moreWe are very excited to have Dr Rachel Brem and Allyson White join our ScreenPoint Medical supervisory board. We are
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Read moreWe are delighted to announce that ScreenPoint Medical has raised $28m in its series C funding. New York-based global venture
Read moreThe latest version of Transpara, the leading AI system that identifies potential breast cancers faster and earlier than before, has
Read moreInternationally renowned breast radiologist, Dr Rachel Brem, Professor of Radiology at The George Washington University School of Medicine and Health
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