Another significant result is the reduction of times, as if Mia acts as the first radiologist, the second radiologist can reduce the reading time by up to 81.9% and generate a faster diagnosis.

Another of the significant results is the reduction of times, because if Mia acts as the first radiologist, the second radiologist can reduce up to one 81.9% reading time and generate a faster diagnosis.

Peter Kecsekmethy, co-founder of the developer company, mentioned the following about the results of the internal study: “These internal results demonstrate a promising first step in using safe AI to address the crisis in the breast scanning workforce. When Mia is used as a second radiologist there is hardly any change in the performance of the scanning service and there is reason to believe that the net result will be an improvement in the quality of the service. So, we are showing how Mia helps solve the needs in breast scanning by acting as an independent reader.”

Moreover, he emphasized that Mia does not seek to defeat human radiologists, but to function as a support, as the combination of both can generate a new solution to traditional diagnostic standards. He also mentioned that Mia is safe and effective and is validated through AI.

“AI shows great promise, but when it is used to intervene in people's lives in healthcare, we need to be robust in our research and clinical studies”explained Dr. Sharma on the advances of AI in health.

Dr. James, mentioned the following about the workforce crisis facing the UK during the COVID-19 pandemic: “we need to find a way to solve that problem and keep offering women the best service possible when it comes to screening for breast cancer. The results we’ve presented today show that Mia could be that solution. It’s a privilege to share them today with our peers at RSNA and give them the first piece of evidence that Mia could be a safe and effective tool for their screening service.”