UCLA Radiology researchers, led by Ruiming Cao, Kyung Sung, PhD and Steven Raman, MD, have developed a new artificial intelligence application — FocalNet — that detects prostate cancer lesions and predicts their aggressiveness on multi-parametric magnetic resonance imaging (mp-MRI) scans. With comparisons to the prospective performance of radiologists using the current diagnostic guideline, FocalNet demonstrated nearly the same level of accuracy as radiologists with 10 years of clinical prostate MRI reading experience.
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