As Shahrokh Valaee, a Google scholar stated, “we are creating simulated x-rays that reflect certain rare conditions so that we can combine them with real x-rays to have a sufficiently large database to train the neural networks to identify these conditions in other x-rays.”
A recent development has essentially “used Machine Learning, to do Machine Learning,” by using computer-generated x-rays to augment AI training. As Shahrokh Valaee, a Google scholar stated, “we are creating simulated x-rays that reflect certain rare conditions so that we can combine them with real x-rays to have a sufficiently large database to train the neural networks to identify these conditions in other x-rays.” This development brings the idea of AI actually taking the diagnostics role even closer.