one is the intense inflammation they had in the lung made their oxygen levels really low, and so they needed high amounts of oxygen. if they didn t tire of their breathing so quickly as many patients with other pneumonia often struggle with their breathing. we also saw things like a lot of blood clots, which we occasionally see in other sepsis, but were far more frequent in this disease. nearly all the patients coming through to icu now had this new sepsis, and for the ai, this was an illness it had never seen before, nor had any data on. and remember, just because a computer has learned to be good at one task, doesn t mean it can do a different one. the ai clinician was back to square one. but the humans weren t. their idea was to gather data from icus across the uk to create a database of treatments that worked, so the doctors in the thick of it could learn from each other at speed and
one is the intense inflammation they had in the lung made their oxygen levels really low, and so they needed high amounts of oxygen. if they didn t tire of their breathing so quickly as many patients with other pneumonia often struggle with their breathing. we also saw things like a lot of blood clots, which we occasionally see in other sepsis, but were far more frequent in this disease. nearly all the patients coming through to icu now had this new sepsis, and for the ai, this was an illness it had never seen before, nor had any data on. and remember, just because a computer has learned to be good at one task, doesn t mean it can do a different one. the ai clinician was back to square one. but the humans weren t. their idea was to gather data from icus across the uk to create a database of treatments that worked, so the doctors in the thick of it could learn from each
successful, but neither the ai or the humans were ready for a new type of sepsis, one brought on by covid i9. there are a few differences. one is the intense inflammation they had in the lung made the oxygen levels really low, and so they needed high amounts of oxygen. if they didn t tire of their breathing so quickly as many patients with other pneumonia often struggle with their breathing. we also saw things like a lot of blood clots, which we occasionally see in other sepsis, but were far more frequent in this disease. nearly all the patients coming through to icu now have this new sepsis, and for the ai, this was an illness it had never seen before, nor had any data on. and remember, just because a computer has learned to be good at one task, doesn t mean it can do a different one. the ai clinician was back to square one. but the humans weren t. their idea was to gather data
frequent in this disease. nearly all the patients coming through to icu now have this new sepsis, and for the ai, this was an illness it had never seen before, nor had any data on. and remember, just because a computer has learned to be good at one task, doesn t mean it can do a different one. the ai clinician was back to square one. but the humans weren t. their idea was to gather data from icus across the uk to create a database of treatments that worked, so the doctors in the thick of it could learn from each other at speed and save their patients. we build for the first time a picture of how disease was treated in real time on the databases across the country. and you see all see the diversity of all the different approaches people are trying, what was working and what was not working. now this data will be used to retrain ai clinician and one day it may help to treat sepsis that s caused by covid. so it s about 18 months
one brought on by covid i9. there are a few differences. one is the intense inflammation they had in the lung made the oxygen levels really low, and so they needed high amounts of oxygen. if they didn t tire of their breathing so quickly as many patients with other pneumonia often struggle with their breathing. we also saw things like a lot of blood clots, which we occasionally see in other sepsis, but were far more frequent in this disease. nearly all the patients coming through to icu now have this new sepsis, and for the ai, this was an illness it had never seen before, nor had any data on. and remember, just because a computer has learned to be good at one task, doesn t mean it can do a different one. the ai clinician was back to square one. but the humans weren t.