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BBCNEWS Click August 7, 2021 14:45:00

The algorithm performed better than some of the individual radiologists, and worse than other radiologists. so when they took the average performance of all the radiologists, the algorithm would have called back fewer people. but this research project is still in its early stages, and is set to move to the next phase of development this year. in the meantime, back in nottingham, mia has finished its initial trials and will now be tested in 15 more nhs sites against ongoing cases, to make sure that it works. artificial intelligence is the next amazing transformation, so that is what excites me. and it excites me that i don t know the full potential. we know that the cancers we are missing tend to be smaller, they tend to be more aggressive, and those are the ones that we want to find. but as the pandemic hit, all of this had to stop. ....

Research Project , There Mia , Artificial Intelligence ,

BBCNEWS Click August 7, 2021 14:47:00

Heartbeat and every breath. when you first start in intensive care, when i started, it was difficult to see what was important because there was much data. but remember, computers love data, and love spotting patterns in it. they don t get tired, and they never stop. so the doctors and computer scientists teamed up to create something called ai clinician, an algorithm that can detect and even predict early signs of sepsis, and then advise how to stop it. what we have used is a large database with 20,000 patients, and then we tested it in another 80,000 patients. that s more than any doctor could see in their lifetime. the trials were proving successful, but neither the al or the humans were ready for a new type of sepsis, one brought on by covid 19. ....

Intensive Care , Love Spotting Patterns , Ai Clinician , Computer Scientists ,

BBCNEWS Click August 7, 2021 05:42:00

Over 2 million people every year, these little percentages do matter. every year around 70,000 women are given a false positive result, and some never attend a screening again. fiona and her team have been testing an ai built by google health to see how the software compares to human radiologists. so in the retrospective study that was done, the algorithm performed better than some of the individual radiologists, and worse than other radiologists. so when they took the average performance of all the radiologists, the algorithm would have called back fewer people. but this research project is still in its early stages, and is set to move to the next phase of development this year. in the meantime, back in nottingham, mia has finished its initial trials and will now be tested in 15 more nhs sites against ongoing cases, to make sure that it works. artificial intelligence is the next amazing transformation, so that is what excites me. and it excites me that i don t know the full potential. ....

Google Health , Professor Fiona Gilbert , 2 Million , Human Radiologists , Research Project , There Mia , Artificial Intelligence ,

BBCNEWS Click August 7, 2021 11:44:00

Gilbert has been conducting research to try and reduce those false positives. something that not only put a lot of strain on the system, but also a lot of strain on the patients. it is obviously causes quite a lot of distress to the woman being called back, and the majority of them turn out to be normal. it is a lot of work for us to be assessing all of these women for a relatively small number of cancers. and when a programme screens over two million people every year, these little percentages do matter. every year around 70,000 women are given a false positive result, and some never attend a screening again. fiona and her team have been testing an ai built by google health to see how the software compares to human radiologists. so in the retrospective study that was done, the algorithm performed better than some of the individual radiologists, and worse than other radiologists. so when they took the average performance of all the ....

Two Million , Professor Fiona Gilbert , Google Health , Human Radiologists ,

Unsupervised AI yields automated COVID-19 survival predictions

An unsupervised AI model trained without image annotations can yield accurate predictions of a COVID-19 patient's survival based on their chest CT. ....

United States , Hiroyuki Yoshida , Medical Image , Massachusetts General Hospital , Creative Commons , Medical Imaging , Artificial Intelligence , Deep Learning , Covid 19 , ஒன்றுபட்டது மாநிலங்களில் , மருத்துவ படம் , மாசசூசெட்ஸ் ஜநரல் மருத்துவமனை , படைப்பு காமன்ஸ் ,