radiologists, known as readers, examine patient scans for signs of cancer. on average, these human readers scrutinise 5,000 mammograms a year. 250—300 patients will be called back, and 30—a0 of those will require closer attention. and there is a chance that with that number you could miss cancers. within the rules that the national screening council have given us, we are not allowed to use the ai automatically as part of the process as yet, so we are using the ai as an extra check at the end of our reading process. in 2016, a private company, kheiron medical technologies, began training an ai model called nia using hundreds of thousands of medical scans. its job — to identify breast cancer. until now, this ai has been intended as an assistive tool for use by two human radiologists. it has become the foundation of the technology being used in aberdeen.

Related Keywords

Cancer , Helping Radiologists , Attention , Patients , A0 , Patient Scans , Readers , Human Readers , Average , Signs , Back , 250 , 300 , 5000 , 30 , Ai , Process , Us , Chance , Part , Cancers , Rules , Number , Screening Council Have , Model , Kheiron Medical Technologies , Scans , The End , Reading Process , Nia Using Hundreds Of Thousands , Check , 2016 , Technology , Breast Cancer , Human Radiologists , Job , Aberdeen Royal Infirmary , Assistive Tool , Foundation , Two ,