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How Machine Learning Is Giving Treatment Planning A Boost - Nashville Medical News - Healthcare News & Marketplace
This process is painful, time-consuming, and expensive. Today, we already use ML to perform image segmentation to not only isolate the location of lesions, but to also reconstruct a high fidelity 3D model of a patient's arteries. In other words, ML is already playing an essential role in identifying and building the right geometry. Machine learning can also speed up segmentation for particularly complicated diseases, such as aortic dissection, which can easily take eight or nine hours for a trained person. Using ML, however, segmentation might take just a few minutes.