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2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology.

Eui Jin HwangJie Eun ParkKyoung Doo SongDong-Hyun YangKyoung Won KimJune Goo LeeJung Hyun YoonKyung Hwa HanDong Hyun KimHwiyoung KimChang Min Parknull null
Published in: Korean journal of radiology (2024)
The penetration rate of AI-SaMDs in clinical practice and the corresponding satisfaction levels were high among members of the KSR. Most AI-SaMDs have been used for lesion detection, diagnosis, and classification. Most respondents requested KSR-driven education or guidelines on the use of AI-SaMDs.
Keyphrases
  • artificial intelligence
  • machine learning
  • clinical practice
  • deep learning
  • big data
  • healthcare
  • cross sectional
  • quality improvement
  • loop mediated isothermal amplification
  • data analysis