When AI Runs Dry: The Challenge of Training Models on Sparse Medical & Biomechanical Data
We all love the idea of AI diagnosing diseases from a single MRI scan or powering exoskeletons that move as naturally as we do. But guess what? These applications often falter because there’s simply not enough data—or the data is imbalanced, messy, and hard to collect. In medicine and biomechanics, training robust AI models is more like playing chess blindfolded: with limited pieces, incomplete vision, and a big risk of making the wrong moves.
