This system uses machine learning to help doctors assess patient injuries. It first determines the optimal settings for a medical scanner using machine learning, then scans the patient to create a 3D image. Machine learning then analyzes this image to detect and classify any injuries, and finally assesses how critical the injury is, specifically by calculating its volume.
Why it matters: Filed when deep learning was less mature. Advances in deep learning models and computational resources since 2017 make implementing and training such a system more feasible and accurate today.
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