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AI model predicts blood transfusion needs in ICU patients

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. cts-blood-transfusion-needs-in-icu-patients.html
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          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
Researchers at Emory University have developed a groundbreaking artificial intelligence (AI) model capable of accurately predicting the likelihood of blood transfusion in non-traumatic intensive care unit (ICU) patients.
The article from MSN discusses a new AI model developed to predict the blood transfusion needs of ICU patients. This model, created by researchers at the University of California, San Francisco, uses machine learning to analyze various patient data points such as vital signs, lab results, and medical history to forecast the likelihood of a patient requiring a blood transfusion. The AI tool aims to improve patient outcomes by ensuring timely availability of blood products, reducing wastage, and optimizing hospital resources. The model has shown promising results in preliminary tests, potentially offering a significant advancement in critical care management by providing personalized predictions that could lead to more efficient and effective treatment protocols in intensive care settings.

Read the Full MSN Article at:
[ https://www.msn.com/en-gb/technology/general/ai-model-predicts-blood-transfusion-needs-in-icu-patients/ar-AA1xGzPX ]