How AI Is Radically Changing Cancer Prediction & Diagnosis

Recently, Massachusetts Institute of Technology (MIT) scientist Adam Yala and his team developed an algorithm to detect cancer with improved accuracy. Two years ago, the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT and the Jameel Clinic (J-Clinic) had built a deep learning model to predict cancer risk using mammograms. But for real-life clinical adoption, the model needed algorithmic improvement and large-scale validation. To that end, the research teams at MIT and other universities trained a model, ‘Mirai’, with over 200,000 exams by including more parameters for an inclusive clinical adoption and validated it across three hospitals in the US, Sweden, and Taiwan.  Here, we look at how Mirai works, AI applications being developed to predict or d
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