that was sammie read.being used in a groundbreaking study to try and identify the difference between covid—i9 and other dangerous lung conditions. jen copesta ke been to find out more. the ability to quickly diagnose health conditions is becoming more and more urgent as the coronavirus pandemic continues. there's a backlog of patients waiting for scans. cancer research uk estimates this is currently 3 million people. so doctors are increasingly looking to study how machine—learning algorithms could process large amounts of data quickly with fewer human resources. at the royal marsden hospital, a study is under way to develop an algorithm that can determine the difference between covid—i9 and the side effects of cancer treatment on a scan. these are things that are often very difficult for the human eye to determine. ok, so this is a patient with coronavirus, covid—i9. essentially, we have some ct scans of the chest, taken a few weeks apart. doctor richard lee is a consultant in respiratory medicine and a c

we went to visit sammy read to hear about her experience with the project. years old when she was diagnosed with cf and was one of project breathe's earliest participants. before i got involved with project breathe, idid not involved with project breathe, i did not know what artificial intelligence was. i had no idea. so i use these pieces of equipment to upload all of my data automatically to my phone. they then number crunch through the ai system and then they obviously deal with everything that i have inputted over the la st that i have inputted over the last 365 days. trends and that are obviously then analysed and then ai then forwarded onto releva nt then ai then forwarded onto relevant person. the equipment is used to monitor key indicators, such as lung function and oxygen saturation, which are automatically compiled and tracked via an app. the ai is used to recognise patterns and predicts any decline in health early. it then alerts an individual when they need to go for a check up. those living with cf usually have to attend a clinic every six weeks,

we went to visit sammie read to hear about her experience with the project. two years old when she was diagnosed with cf and was one of project breathe's earliest participants. so i use these pieces of equipment to upload all of my data automatically to my phone. the equipment is used to monitor key indicators such as lung function and oxygen saturation, which are automatically compiled and tracked via an app. the ai is used to recognise patterns and predicts any decline in health early. it then alerts an individual when they need to go for a check—up. those living with cf usually have to attend a clinic every six weeks, even if they are well. that results in a huge number of wasted days for people, disrupting their lives and putting them at risk of infection. the artificial intelligence within this monitors my data input and it can see trends so it can see, for example, when i'm likely to pick up an infection looking forward, when for example they can see 11 days in advance within the trends that, you know, you are likely to be going downhill so they can pick

we went to visit sammie read to hear about her experience with the project.dividual when they need to go for a check—up. those living with cf usually have to attend a clinic every six weeks, even if they're well. that results in a huge number of wasted days for people, disrupting their lives and putting them at risk of infection. the artificial intelligence within this monitors my data input and it can see trends so it can see, for example, when i'm likely to pick up an infection looking forward. when, for example, they can see 11 days in advance within the trends that, you know, you are likely to be going downhill so they can pick that up quicker, which means i can treat myself quicker, which means that i'm not then obviously admitted as an inpatient. attending a clinic every six weeks also means that relatively little data is collected, both on the individual and across all of those living with cf. but now, eight or nine pieces of data can be captured at home every day of the year. i'm finding artificial intelligence really interesting. i'm finding it that

we went to visit sammie read to hear about her experience with the project. ad all of my data automatically to my phone. the equipment is used to monitor key indicators such as lung function and oxygen saturation, which are automatically compiled and tracked via an app. she coughs the ai is used to recognise patterns and predicts any decline in health early. it then alerts an individual when they need to go for a check—up. those living with cf usually have to attend a clinic every six weeks, even if they're well. that results in a huge number of wasted days for people, disrupting their lives and putting them at risk of infection. the artificial intelligence within this monitors my data input and it can see trends so it can see, for example, when i'm likely to pick up an infection looking forward. when, for example, they can see 11 days in advance within the trends that, you know, you are likely to be going downhill so they can pick that up quicker, which means i can treat myself quicker, which means that i'm not then obviously admitted as an inpatient. attendi