Medical Xpress October 11, 2024
As the impact of artificial intelligence (AI) grows in our world, the University of Adelaide is exploring the role that technology can play in the health sphere, particularly in clinical decision-making and explanations.
The analytical review in the Future Healthcare Journal outlines one of the major challenges in health AI—explainability—and explores whether explanations of specific predictions for individuals is absolutely necessary to make a good decision.
“The field of explainability which focuses on individual-level explanations is a developing one,” said Dr. Melissa McCradden, of the University of Adelaide’s Australian Institute for Machine Learning (AIML).
“We are optimistic about where the field can go, but with where we are right now, requiring prediction-level explanations for clinical decision-making is problematic.”
Dr. McCradden...
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