Becker's Healthcare November 8, 2019
Most artificial intelligence tools developed for use in healthcare purport to predict and detect disease with superhuman speed and accuracy, but the technology’s true life-saving potential lies in discovering why those diseases occur at all.
In an op-ed for the Harvard Business Review, two professors from the Boston-based Harvard T.H. Chan School of Public Health wrote that while the predictive capabilities of some AI offerings have certainly saved lives, those systems simply “take what we already do and improve it by shifting the task from a human … to an algorithm.”
To maximize the capabilities of AI, then, healthcare organizations should turn to causal algorithms, which can “infer causal relationships from observational data, telling us how different factors interact with...
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