What If Generative AI Turned To Be A Flop In Healthcare?

The excitement surrounding generative AI is reaching a fever pitch. From tech giants to healthcare leaders, investment in this seemingly game-changing technology is exploding. We’re embracing the trend: we’ve written dozens of articles, created multiple videos, published an ebook, and recently launched a new short course.  However, amidst the enthusiasm, AI expert Gary Marcus raised an important question a few months ago: What if, for all its promise, generative AI fails to deliver long-term? While he outlined the pessimistic scenario in general, I wanted to dissect what genAI being a flop would mean in healthcare and medicine. How to define generative AI failure in healthcare? Since the public launch of ChatGPT, we’ve explored the potential of generative AI in medicine. This technology offers promising applications, from enhancing administrative efficiency to functioning as a virtual medical scribe, potentially reshaping how medical facilities operate and interact with patients. Let’s now consider the other side of the coin. If generative AI fails to live up to the expectations, the consequences for healthcare could be significant. Let’s break down what failure could look like. We don’t find evidence that it works A fundamental failure of generative AI would be its inability to be incorporated into evidence-based medicine. Without robust empirical support from well-conducted research and clinical trials, AI technologies canâ...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Artificial Intelligence in Medicine generative AI AI in heaalthcare Source Type: blogs