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A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI.

Zhaonan SunKexin WangZixuan KongZhangli XingYuntian ChenNing LuoYang YuBin SongPengsheng WuXiangpeng WangXiaodong ZhangXiaoying Wang
Published in: Insights into imaging (2023)
This study involves the process of data collection, randomization and crossover reading procedure.
Keyphrases
  • artificial intelligence
  • big data
  • prostate cancer
  • machine learning
  • deep learning
  • radical prostatectomy
  • working memory
  • electronic health record
  • clinical trial
  • data analysis
  • randomized controlled trial
  • double blind