Full article originally published by Unite.AI on December 11, 2024.
Anytime a new technological advancement makes its way into an industry, there can be a temptation to anoint that shiny new toy as an anecdote to all of an industry’s ills. AI in healthcare is a great example. As the technology has continued to advance, it has been adopted for use cases in drug development, care coordination, and reimbursement, to name a few. There are a great number of legitimate use cases for AI in healthcare, where the technology is far and away better than any currently available alternative.
However, AI—as it stands today—excels only at certain tasks, like understanding large swaths of data and making judgements based on well-defined rules. Other situations, particularly where added context is essential for making the right decision, are not well-suited for AI. Let’s explore some examples.
