It can check a patient’s medical history, physical status and test results to predict risk of post-operative complications. Read more at straitstimes.com.
SINGAPORE - To minimise complications after surgery, the Singapore General Hospital is turning to a new artificial intelligence tool to help doctors assess a patient’s suitability for operations.
With CARES-ML, human error is reduced. It can predict the risk of a patient requiring intensive care or dying within 30 days of surgery with an accuracy of over 90 per cent and 80 per cent respectively. With a more accurate gauge of a patient’s needs after surgery, SGH can also allocate its resources more effectively, such as prioritising which patients should be given a space in the intensive care unit.
“Machine learning, and any AI model, helps in terms of providing clinicians with a second opinion. It supports the clinician by looking at more data points than a human clinician can.”
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