Researchers have developed an artificial intelligence (AI) tool that shows the potential to predict prostate cancer aggressiveness and the likelihood of post-surgery relapse more accurately than standard methods can. Called RadClip, for radiomic-clinicopathologic nomogram, the tool was developed by a team from the Center for Computational Imaging and Personalized Diagnostics (CCIPC) at Case Western Reserve University. Its validation was described in a study titled “A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and…
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