there is a lesion in the left breast here, and of course this is something you would expect a human being. you can just tell there is something different in the pictures there, and if you click on this ai button, it circles an area to check. but the main area of most concern is this area circled here, where the cancer is on the left side. in screening, you want to pick up things that are small before they become big. programmes like this one identify breast cancer in roughly 6 in 1000 women. 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 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 rea
here, where the cancer is on the left side. in screening, you want to pick up things that are small before they become big. programmes like this one identify breast cancer in roughly 6 in 1000 women. 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 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, keyron medical technologies, began training an ai model called nia using hundreds of thousands of medical scans. itsjob to identify
but the main area of most concern is this area circled here, where the cancer is on the left side. in screening, you want to pick up things that are small before they become big. programmes like this one identify breast cancer in roughly 6 in 1000 women. 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 30 110 of those will require closer attention. and there is a chance that with that number you could miss cancers. within the rules that 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, keyron medical technologies, began training an ai model called nia using hundreds of thousands of medical scans.
an area to check. but the main area of most concern is this area circled here, where the cancer is on the left side. in screening, you want to pick up things that are small before they become big. programmes like this one identify breast cancer in roughly 6 in 1000 women. 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 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, keyron medical technologies, began training an ai model
a lady who has scones. obviously now, we have a lady who has mammograms i scones. obviously now, we have| a lady who has mammograms on her left side and right side, we are looking for differences, there is a lesion in the left breast here and of course this is something you would expect a human being, you canjust help there is something different in there is something different in the pictures, and if you click on this, you can see the button here, it circles here to check but the main area of most concern is this area circled here whether cancer is on the left side. in screening you want to pick up things that are before they become big. programmes like this one identified breast cancer in roughly six in 1000 women. radiologists known as readers examine patient scans for signs of cancer. 0n examine patient scans for signs of cancer. on average, these human readers scrutinise 5000 mammograms a year. 250 300 patients will be called back and 30 a0 of those will require closer attentio