Pdf Risk Stratification And Artificial Intelligence In Early Magnetic Patient summary: the use of prostate magnetic resonance imaging (mri) for diagnosis of prostate cancer is increasing. risk stratification of patients before imaging and the use of shorter scan protocols can help in managing mri resources. artificial intelligence can also play a role in automating some tasks. A first step to overcome this challenge is to use better pre imaging risk stratification tools. in an opinion paper by prof. van poppel and colleagues, an intelligible diagnostic pathway with personalised risk stratification was proposed for early detection of pca in well informed men as a so called “pca screening 2.0” [9].
Figure 1 From Risk Stratification And Artificial Intelligence In Early The expected increase in the use of prostate magnetic resonance imaging (mri) requires solutions that come from different directions; suitable risk stratification before imaging and the use of shorter mri protocols need to be explored. for most of these solutions, artificial intelligence can play an important role. Tions were based on a conventional diagnostic strategy, in which systematic transrectal ultrasound (trus) guided biopsies were used to find the cause of the elevated psa without the use of risk stratification tools such as multivari able risk calculators and prostate magnetic resonance imag ing (mri). The use of artificial intelligence (ai) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision making for individualized cancer medicine. Doi: 10.1016 j.euf.2021.11.005 corpus id: 245461769; risk stratification and artificial intelligence in early magnetic resonance imaging based detection of prostate cancer.
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