Undoubtedly, progress has been made in digital healthcare. But many would argue that we have fallen short in many areas….particularly in how AI was supposed to revolutionize diagnostics and clinical care. Here is a useful discussion about why.
For years, the public has repeatedly been left with the impression that the dawn of AI in healthcare is just around the corner, leading to transformative improvements in diagnosis, workflow and cost reductions. There’s just one problem: few of these solutions have succeeded in jumping from medical journals into clinical settings. In practice, crafting effective medical AI applications has turned out “not to be easy in essentially every dimension you look at,” explains Wachter.