AI tools can now predict COVID-19 patient’s oxygen needs
The Artificial Intelligence tools can now predict COVID-19 patient oxygen needs anywhere in the world.
Artificial Intelligence (AI) can now be used to predict the oxygen needs in COVID-19 patients. Addenbrooke’s hospital in Cambridge, with 20 other hospitals from across the globe and NVIDIA a USA-based multinational technology company, have built an Artificial Intelligence (AI) tool called EXAM to predict the COVID-19 patient’s oxygen needs.
The research published in Nature Medicine explicated that an algorithm used in the tool analyzed the chest x-rays and the anonymized electronic health data of hospital patients with COVID-19 symptoms. AI tool is quite fast as it can predict the patients’ oxygen needs within 24 hours of their arrival in the emergency department.
Via the federated learning technique, the outcomes of approximately 10,000 COVID-19 patients worldwide were analyzed. Professor Fiona Gilbert who led this study said:
“Federated learning has the transformative power to bring AI innovation to the clinical workflow. She further said Our continued work with EXAM demonstrates that these kinds of global collaborations are repeatable and more efficient so that we can meet clinicians’ needs to tackle complex health challenges and future epidemics.”
AI has facilitated the healthcare industry on a large scale and due to its advantages, the use of artificial intelligence is anticipated to increase as recently it is being used in the detection of brain diseases. Moreover, AI tools are also being used in testing the Covid 19 patients. Other than this the Artificial Intelligence tools are also being utilized in various tasks like patient’s care, and medicine discovery, etc in short the medical industry is discovering a new world of possibilities with the help of Artificial Intelligence.
Consider this or not but AI is the new future of the healthcare industry. As also evident from the statistics that in 2028 the global AI market size in the healthcare industry is expected to reach USD 120.2 billion.