This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Machine Learning (2076) Adoption and Change Management of eHealth Systems (894) Formative Evaluation of Digital Health Interventions (3229) Imaging Informatics (302) User Needs and Competencies (456)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27122, first published .
Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Radiation Oncologists’ Perceptions of Adopting an Artificial Intelligence–Assisted Contouring Technology: Model Development and Questionnaire Study

Authors of this article:

Huiwen Zhai1, 2 Author Orcid Image ;   Xin Yang3 Author Orcid Image ;   Jiaolong Xue4, 5 Author Orcid Image ;   Christopher Lavender1 Author Orcid Image ;   Tiantian Ye6 Author Orcid Image ;   Ji-Bin Li7 Author Orcid Image ;   Lanyang Xu2 Author Orcid Image ;   Li Lin3 Author Orcid Image ;   Weiwei Cao8 Author Orcid Image ;   Ying Sun3 Author Orcid Image
Article Authors Cited by (37) Tweetations (4) Metrics

Journals

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  2. Li C, Li Y. Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis. Sustainability 2023;15(5):3939 View
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  16. Dingel J, Kleine A, Cecil J, Sigl A, Lermer E, Gaube S. Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology. Journal of Medical Internet Research 2024;26:e57224 View
  17. Krieger J, Bouder F, Wibral M, Almeida R. A systematic literature review on risk perception of Artificial Narrow Intelligence. Journal of Risk Research 2024:1 View
  18. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
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  20. Lee J, Cho W, Kim B, Yoon D, Kim J, Song J, Yang S, Lim S, Chung G, Choi J, Han Y, Kong H, Lee J, Kim S, Bae J. Impact of User’s Background Knowledge and Polyp Characteristics in Colonoscopy with Computer-Aided Detection. Gut and Liver 2024;18(5):857 View
  21. Han Z, Wang Y, Wang W, Zhang T, Wang J, Ma X, Men K, Shi A, Gao Y, Bi N. Artificial intelligence-assisted delineation for postoperative radiotherapy in patients with lung cancer: a prospective, multi-center, cohort study. Frontiers in Oncology 2024;14 View
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  26. Wang J, Zhou Y, Tan K, Yu Z, Li Y. Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of Acceptance and Use of Technology Model. Frontiers in Medicine 2025;12 View
  27. Vorbach S, Putz F, Ganswindt U, Janssen S, Grohmann M, Knippen S, Heinemann F, Shafie R, Peeken J. Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries. Strahlentherapie und Onkologie 2025;201(11):1151 View
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  29. Boissin C, Blom L, Taha Z, Wallis L, Allorto N, Laflamme L. Intention to Use Automated Diagnosis and Clinical Risk Perceptions Among First Contact Clinicians in Resource-Poor Settings: Questionnaire-Based Study Focusing on Acute Burns. JMIR Human Factors 2025;12:e56300 View
  30. Dai Q, Li M, Yang M, Shi S, Wang Z, Liao J, Li Z, E W, Tao L, Tang Y. Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2025;27:e75343 View
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Books/Policy Documents

  1. Haseeb M, Rahman M, Kamal M, Ghai S, Sidana N. AI-Driven Environmental Pollution Management. View

Conference Proceedings

  1. Chen C, Yarmand M, Singh V, Sherer M, Murphy J, Zhang Y, Weibel N. 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). VRContour: Bringing Contour Delineations of Medical Structures Into Virtual Reality View
  2. Chen C, Yarmand M, Singh V, Sherer M, Murphy J, Zhang Y, Weibel N. Companion of the 2022 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. Exploring Needs and Design Opportunities for Virtual Reality-based Contour Delineations of Medical Structures View