hello this is bbc news. the headlines: nasa calls off their second attempt to launch its most powerful rocket, artemis i to the moon five days after technical problems scuppered the first. moscow blames maintenance problems forfailing to resume the main pipeline that transports gas from russia to europe after a three day closure. it s going to be harder to fill up. gas storage. is going to raise the risks of energy shortages this winter. and it really sharpens dilemma for european politicians as they plan for what could be a very difficult situation over the next few months. ukraine s first lady olena zelenska highlights the importance of the human cost of war in an interview with the bbc. when you start counting pennies on your bank account or in your pocket. we do the same and count our casualties. mourners have paid their respects to the last soviet leader, mikhail gorbachev, who was buried in moscow, this afternoon. now on bbc news, click. this week we are at the hospit
we saw the cardiovascular history and the smoking history and the consequences of smoking were the biggest determinants of your outcome from developing a risk post operatively. hopefully i m getting a hip replacement which will take away the pain. i want to be more active and get back into walking my dog longer, things like that. lorna is being treated at the wansbeck hospital in northumberland. she has been told it is a five month wait for her surgery. this new ai model has been developed by orthopaedic surgeons, justin green and mike reed, at the northumbria healthca re nhs trust. it measures risk associated with surgery. traditionally, factors such as previous heart attacks and strokes, present significant risk factors for somebody about to undergo surgery. the ai model takes into account 220 different factors to work out each individual patient s risk.
is a five month wait for her surgery. this new ai model has been developed by orthopaedic surgeons, justin green and mike reed, at the northumbria healthca re nhs trust. it measures risk associated with surgery. traditionally, factors such as previous heart attacks and strokes, present significant risk factors for somebody about to undergo surgery. the ai model takes into account 220 different factors to work out each individual patient s risk. the patient comes for an operation, they bring with them a lifetime of medical history as well. that is really important to the patient but it takes a lot of understanding, from a clinical perspective, in terms of how that influences the outcome of their operation. what we are doing with the system is using artificial intelligence or machine learning to try and predict the outcome of surgery for patients, so essentially trying to predict what complications they may have and also to try and work out potentially the best site for them to have thei
which helps determine the level of risk lorna will be exposed to by undergoing surgery. i have arthritis in both hips, both knees. i am struggling. i ve actually had to give up myjob. we saw the cardiovascular history and the smoking history and the consequences of smoking were the biggest determinants of your outcome from developing a risk post operatively. hopefully i m getting a hip replacement which will take away the pain. i want to be more active and get back into walking my dog longer, things like that. lorna is being treated at the wansbeck hospital in northumberland. she has been told it is a five month wait for her surgery. this new ai model has been developed by orthopaedic surgeons, justin green and mike reed, at the northumbria healthca re nhs trust. it measures risk associated with surgery. traditionally, factors such as previous heart attacks and strokes, present significant risk factors
northumbria healthca re nhs trust. it measures risk associated with surgery. traditionally, factors such as previous heart attacks and strokes present significant risk factors for somebody about to undergo surgery. the ai model takes into account 220 different factors to work out each individual patient s risk. the patient comes for an operation, they bring with them a lifetime of medical history as well. that s really important to the patient, but it takes a lot of determining a lot of understanding, from a clinical perspective, in terms of how that influences the outcome of their operation. what we re doing with this system is using artificial intelligence or machine learning to try and predict the outcome of surgery for patients. so, essentially trying to predict what complications they may have and also to try and work out potentially the best site for them to have their surgery. staff shortages and ongoing fallout from the covid 19 pandemic have placed immense pressure on the nh