Two studies evaluate development of artificial intelligence tools for health care

Medical Xpress December 17, 2024
Weill Cornell Medical College

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study by Weill Cornell Medicine and Rockefeller University researchers.

Reinforcement Learning (RL) is a class of machine learning algorithms able to make a series of decisions over time. Responsible for recent AI advances, including superhuman performance at chess and Go, RL can use evolving patient conditions, test results and previous treatment responses to suggest the next best step in personalized patient care. This approach is particularly promising for decision making for managing chronic or psychiatric diseases.

The research, published in the Proceedings of the...

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