Augmented Decision-Making in wound Care: Evaluating the clinical utility of a Deep-Learning model for pressure injury staging.

Journal: International journal of medical informatics
Published Date: Oct 17, 2023

Abstract

BACKGROUND: Precise categorization of pressure injury (PI) stages is critical in determining the appropriate treatment for wound care. However, the expertise necessary for PI staging is frequently unavailable in residential care settings.

Authors

  • Jemin Kim
    Department of Dermatology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Gyeonggi-do, South Korea.
  • Changyoon Lee
    Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Sungchul Choi
    Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Da-In Sung
    Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jeonga Seo
    Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Yun Na Lee
    Department of Dermatology and Cutaneous Biology Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Joo Hee Lee
    Department of Dermatology and Cutaneous Biology Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Eun Jin Han
    Department of Nursing, Severance Hospital, Seoul, Republic of Korea.
  • Ah Young Kim
    Department of Nursing, Severance Hospital, Seoul, Republic of Korea.
  • Hyun Suk Park
    Department of Nursing, Severance Hospital, Seoul, Republic of Korea.
  • Hye Jeong Jung
    Department of Nursing, Severance Hospital, Seoul, Republic of Korea.
  • Jong Hoon Kim
    Department of Dermatology and Cutaneous Biology Research Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Ju Hee Lee
    Department of Dermatology and Cutaneous Biology Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: juhee@yuhs.ac.

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