A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.

Journal: Journal of medical Internet research
PMID:

Abstract

BACKGROUND: Despite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily designed as clinical decision support systems (CDSSs). However, from the perspective of clinical practitioners, the lack of clinical interpretability and user-centered interfaces hinders the adoption of these AI systems in practice.

Authors

  • Jeonghwan Hwang
    Looxid Labs, Seoul, Republic of Korea.
  • Taeheon Lee
    Looxid Labs, Seoul, Republic of Korea.
  • Honggu Lee
    Looxid Labs, Seoul, Republic of Korea.
  • Seonjeong Byun
    Department of Psychiatry, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Gyeonggi-do, Republic of Korea.