Hopefully AI will one day be a tool that can be assistive in a real-world setting. The biggest problem that I think we face is we have a huge shortage of neurologists. At least in the US, I think the projection is that almost there is a 20% shortfall of neurologists in the coming decade or so. So what we are hoping is that these AI tools can be truly assistive in real-world practice and sort of trying to build those tools to make them as robust as possible so that one day the clinicians can actually trust that these tools can be integrated within a clinical setting...
Hopefully AI will one day be a tool that can be assistive in a real-world setting. The biggest problem that I think we face is we have a huge shortage of neurologists. At least in the US, I think the projection is that almost there is a 20% shortfall of neurologists in the coming decade or so. So what we are hoping is that these AI tools can be truly assistive in real-world practice and sort of trying to build those tools to make them as robust as possible so that one day the clinicians can actually trust that these tools can be integrated within a clinical setting. So the future, I think, is imagining a day when you have a patient walking into the clinic and then there is an expert seeing the patient. But in the background, the AI model is actually sort of also learning from all the information that is collected in that setting and then serve as sort of this assistant which can help the neurologist make better decisions. So almost like a second opinion or an assistive tool, if you will.
This transcript is AI-generated. While we strive for accuracy, please verify this copy with the video.
