> [...] a roadmap for how to get a medical large language model-based system regulatory cleared to produce a differential diagnosis. It won’t be easy or for the faint-hearted, and it will take millions in capital and several years to get it built, tested and validated appropriately, but it is certainly not outside the realms of future possibility.
> [...]
> There is one big BUT in all this that we feel compelled to mention. Given the lengthy time to build, test, validate and gain regulatory approval, it is entirely possible that LLM technology will have moved on significantly by then, if the current pace of innovation is anything to go by, and this ultimately begs the question - is it even worth it if we are at risk of developing a redundant technology? Indeed, is providing a differential diagnosis to a clinician who will already have a good idea (and has available to them multiple other free resources) even a good business case?
> [...] a roadmap for how to get a medical large language model-based system regulatory cleared to produce a differential diagnosis. It won’t be easy or for the faint-hearted, and it will take millions in capital and several years to get it built, tested and validated appropriately, but it is certainly not outside the realms of future possibility.
> [...]
> There is one big BUT in all this that we feel compelled to mention. Given the lengthy time to build, test, validate and gain regulatory approval, it is entirely possible that LLM technology will have moved on significantly by then, if the current pace of innovation is anything to go by, and this ultimately begs the question - is it even worth it if we are at risk of developing a redundant technology? Indeed, is providing a differential diagnosis to a clinician who will already have a good idea (and has available to them multiple other free resources) even a good business case?