[Click on title for original article]
This is quite an interesting field. It is good to know that robot - assisted virtual reality tools are booming, both in design and in application. Having done part of my graduate research in this area, it pleases me that these advances are proving to be so quick.
However, problems still persist. How does one expand functionality across applications? The expansivity of these tools is theoretically infinite, but training still remains a problem.
Eventually, one would expect the tools to act as a supplant, allowing the surgeon to think of several strategies to pursue, for instance, while removing tumors and the like. The situation is unique for each patient, and varies within the same patient over time in many cases.
The tools need an increasing versatility in the co - ordination between dextrous robotic tools and highly efficient artificial intelligence on the software side.
It would also prove to be quite useful to have a standardized learning language for all the simulation tools, so that they can quickly consolidate knowledge obtained across fields, that the AI program, and the surgeon can later use, in addressing challenging problems over different domains.
These would be the pertinent challenges facing the field, around which future innovators might want to concentrate.