Synthetic data for AI outperform real data in robot-assisted surgery johnshopkins NatMachIntell
models and much more feasible than collecting real clinical data, which can be incredibly hard to come by or, in some cases, simply doesn't exist yet," said Mathias Unberath, an assistant professor of computer science and senior author of the paper.
The answer? Generate the data needed through simulation, say the researchers. In its study, the team set out to simulate X-ray images that would mirror those taken when a real patient underwent this robot-assisted procedure. To do this, the researchers harnessed the power of sophisticated computer simulations similar to those found in popular simulation video games like The Sims or Minecraft.
The system appears to be one of the first to demonstrate that realistic simulation is both convenient and valuable for developing X-ray image analysis models, which paves the way for all sorts of novel algorithms, the team says. The team plans to make SyntheX an open-source tool for data simulation, so other researchers can get the datasets they need.
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