Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey

被引:0
|
作者
Li, Ming [1 ]
Xiong, Xiaomin [2 ,3 ]
Xu, Bo [2 ,4 ]
机构
[1] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Hlth Policy & Management, Baltimore, MD 21218 USA
[2] Chongqing Univ, Chongqing Univ Canc Hosp, Dept Breast Oncol, Chongqing, Peoples R China
[3] Chongqing Univ, Sch Med, Inst Intelligent Oncol, Chongqing, Peoples R China
[4] Tianjin Med Univ Canc Inst & Hosp, Key Lab Breast Canc Prevent & Therapy, Natl Canc Res Ctr,Dept Biochem & Mol Biol, Minist Educ, Tianjin, Peoples R China
来源
关键词
artificial intelligence; AI; oncologists; attitude; perception;
D O I
10.3389/fdgth.2024.1371302
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Artificial intelligence (AI) is transforming healthcare, yet little is known about Chinese oncologists' attitudes towards AI. This study investigated oncologists' knowledge, perceptions, and acceptance of AI in China.Methods A cross-sectional online survey was conducted among 228 oncologists across China. The survey examined demographics, AI exposure, knowledge and attitudes using 5-point Likert scales, and factors influencing AI adoption. Data were analyzed using descriptive statistics and chi-square tests.Results Respondents showed moderate understanding of AI concepts (mean 3.39/5), with higher knowledge among younger oncologists. Only 12.8% used ChatGPT. Most (74.13%) agreed AI is beneficial and could innovate healthcare, 52.19% respondents expressed trust in AI technology. Acceptance was cautiously optimistic (mean 3.57/5). Younger respondents (similar to 30) show significantly higher trust (p = 0.004) and acceptance (p = 0.009) of AI compared to older respondents, while trust is significantly higher among those with master's or doctorate vs. bachelor's degrees (p = 0.032), and acceptance is higher for those with prior IT experience (p = 0.035).Key drivers for AI adoption were improving efficiency (85.09%), quality (85.53%), reducing errors (84.65%), and enabling new approaches (73.25%).Conclusions Chinese oncologists are open to healthcare AI but remain prudently optimistic given limitations. Targeted education, especially for older oncologists, can facilitate AI implementation. AI is largely welcomed for its potential to augment human roles in enhancing efficiency, quality, safety, and innovations in oncology practice.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Workplace Violence towards Healthcare Workers: An Italian Cross-Sectional Survey
    Ielapi, Nicola
    Andreucci, Michele
    Bracale, Umberto Marcello
    Costa, Davide
    Bevacqua, Egidio
    Giannotta, Nicola
    Mellace, Sabrina
    Buffone, Gianluca
    Cerabona, Vito
    Arturi, Franco
    Provenzano, Michele
    Serra, Raffaele
    NURSING REPORTS, 2021, 11 (04) : 758 - 764
  • [42] Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study
    Sumengen, Aylin Akca
    Subasi, Damla Ozcevik
    Cakir, Gokce Naz
    TEACHING AND LEARNING IN NURSING, 2025, 20 (01) : e250 - e257
  • [43] Nurses' perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany
    Sommer, Domenic
    Schmidbauer, Lukas
    Wahl, Florian
    BMC NURSING, 2024, 23 (01)
  • [44] Perceptions of Artificial Intelligence Among Otolaryngologists in Saudi Arabia: A Cross-Sectional Study
    AlSharhan, Salma S.
    AlMarzouq, Wasan F.
    Alshaikh, Hamzah K.
    Aljubran, Hussain J.
    Alghamdi, Rizam
    AlQahtani, Sarah M.
    Almarzouq, Aseel F.
    AlAmer, Naheel A.
    JOURNAL OF MULTIDISCIPLINARY HEALTHCARE, 2024, 17 : 4101 - 4111
  • [45] Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study
    Alkhaaldi, Saif M., I
    Kassab, Carl H.
    Dimassi, Zakia
    Alsoud, Leen Oyoun
    Al Fahim, Maha
    Al Hageh, Cynthia
    Ibrahim, Halah
    JMIR MEDICAL EDUCATION, 2023, 9
  • [46] Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany
    Domenic Sommer
    Lukas Schmidbauer
    Florian Wahl
    BMC Nursing, 23
  • [47] Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey
    Horsfall, Hugo Layard
    Palmisciano, Paolo
    Khan, Danyal Z.
    Muirhead, William
    Koh, Chan Hee
    Stoyanov, Danail
    Marcus, Hani J.
    WORLD NEUROSURGERY, 2021, 146 : E724 - E730
  • [48] Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors' attitude
    Manh-Tung Ho
    Le, Ngoc-Thang B.
    Mantello, Peter
    Manh-Toan Ho
    Ghotbi, Nader
    TECHNOLOGY IN SOCIETY, 2023, 72
  • [49] Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
    Sit, Cherry
    Srinivasan, Rohit
    Amlani, Ashik
    Muthuswamy, Keerthini
    Azam, Aishah
    Monzon, Leo
    Poon, Daniel Stephen
    INSIGHTS INTO IMAGING, 2020, 11 (01)
  • [50] Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey
    Cherry Sit
    Rohit Srinivasan
    Ashik Amlani
    Keerthini Muthuswamy
    Aishah Azam
    Leo Monzon
    Daniel Stephen Poon
    Insights into Imaging, 11