Lay individuals' perceptions of artificial intelligence (AI)-empowered healthcare systems

被引:1
|
作者
Zhang Z. [1 ]
Genc Y. [1 ]
Xing A. [2 ]
Wang D. [3 ]
Fan X. [4 ]
Citardi D. [1 ]
机构
[1] School of Computer Science and Information Systems, Pace University, New York, NY
[2] Department of Statistics, Florida State University, Tallahassee, FL
[3] IBM Research, X, Cambridge, MA
[4] Institute of Software, Chinese Academy of Sciences, Beijing
关键词
acceptability; artificial intelligence; diagnostic results; healthcare; trust;
D O I
10.1002/pra2.326
中图分类号
学科分类号
摘要
With the recent advances in Artificial Intelligence (AI) technology, patient-facing applications have started embodying this novel technology to deliver timely healthcare information and services to the patient. However, little is known about lay individuals' perceptions and acceptance of AI-driven, patient-facing health systems. In this study, we conducted a survey with 203 participants to investigate their perceptions about using AI to consult information related to their diagnostic results and what factors influence their perceptions. Our results showed that despite the awareness and experience of patient-facing AI systems being low amongst our participants, people had a generally positive attitude towards such systems. A majority of participants indicated a high level of comfortability and willingness to use health AI systems, and agreed AI could help them comprehend diagnostic results. Several intrinsic factors, such as education background and technology literacy, play an important role in people's perceptions of using AI to comprehend diagnostic results. In particular, people with high technology and health literacy, and education levels had more experiences with using AI and tended to trust AI outputs. We conclude this paper by discussing the implications of this work, with an emphasis on enhancing the trustworthiness of AI and bridging the digital divide. © 2020, John Wiley and Sons Inc. All rights reserved.
引用
收藏
相关论文
共 50 条
  • [1] Artificial Intelligence (AI) in Healthcare
    Besch, Christian
    ZEITSCHRIFT FUR PALLIATIVMEDIZIN, 2020, 21 (04): : 146 - 147
  • [2] Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review
    Bracken, Aisling
    Reilly, Clodagh
    Feeley, Aoife
    Sheehan, Eoin
    Merghani, Khalid
    Feeley, Iain
    JOURNAL OF MEDICAL SYSTEMS, 2025, 49 (01)
  • [3] IEEE ACCESS SPECIAL SECTION EDITORIAL: ARTIFICIAL INTELLIGENCE (AI)-EMPOWERED INTELLIGENT TRANSPORTATION SYSTEMS
    Ngai, Edith
    Chen, Chao
    Tolba, Amr M.
    Obaidat, Mohammad S.
    Wang, Fanzhao
    IEEE ACCESS, 2021, 9 : 69492 - 69497
  • [4] The Role of Artificial Intelligence (AI) in the Healthcare Profession
    Afridi, Muhammad Iqbal
    ANNALS ABBASI SHAHEED HOSPITAL & KARACHI MEDICAL & DENTAL COLLEGE, 2023, 28 (03): : 118 - 119
  • [5] The Role of Artificial Intelligence (AI) in Space Healthcare
    Cinelli, Ilaria
    AEROSPACE MEDICINE AND HUMAN PERFORMANCE, 2020, 91 (06) : 537 - 539
  • [6] Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles
    Alladi T.
    Kohli V.
    Chamola V.
    Yu F.R.
    Guizani M.
    IEEE Wireless Communications, 2021, 28 (03) : 144 - 149
  • [7] The Role of Artificial Intelligence (AI) in Healthcare Data Analytics
    Nguyen, Tu N.
    Nguyen, Nam P.
    Savaglio, Claudio
    Zhang, Ying
    Dumba, Braulio
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2021, 30 (06N08)
  • [8] Towards new frontiers of healthcare systems research using artificial intelligence and generative AI
    Chatterjee, Samir
    Fruhling, Ann
    Kotiadis, Kathy
    Gartner, Daniel
    HEALTH SYSTEMS, 2024, 13 (04) : 263 - 273
  • [9] Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review
    Akkus, Zeynettin
    Aly, Yousof H.
    Attia, Itzhak Z.
    Lopez-Jimenez, Francisco
    Arruda-Olson, Adelaide M.
    Pellikka, Patricia A.
    Pislaru, Sorin, V
    Kane, Garvan C.
    Friedman, Paul A.
    Oh, Jae K.
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (07)
  • [10] Utilization of Artificial Intelligence (AI) in Healthcare Decision-Making Processes: Perceptions of Caregivers in Saudi Arabia
    Amin, Horaya A.
    Alanzi, Turki M.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (08)