Does AI explainability affect physicians' intention to use AI?

Journal: International journal of medical informatics
Published Date: Oct 8, 2022

Abstract

BACKGROUND: Artificial Intelligence (AI) is increasingly being developed to support clinical decisions for better health service quality, but the adoption of AI in hospitals is not as popular as expected. A possible reason is that the unclear AI explainability (XAI) affects the physicians' consideration of adopting the model.

Authors

  • Chung-Feng Liu
    Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Zhih-Cherng Chen
    Division of Cardiology, Department of Internal Medicine, Chi Mei Medical Center, No. 901, Zhonghua Rd., Yongkang Dist., Tainan City 710402, Taiwan.
  • Szu-Chen Kuo
    Department of Pediatrics, Chi Mei Medical Center, No. 901, Zhonghua Rd., Yongkang Dist., Tainan City 710402, Taiwan. Electronic address: lighthikali@gmail.com.
  • Tzu-Chi Lin
    Department of Nursing, Chi Mei Medical Center, Liouying, No. 201, Taikang Taikang Vil., Liouying Dist., Tainan City 73657, Taiwan. Electronic address: clh30006@mail.chimei.org.tw.

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