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
  • [31] Latent class analysis of Chinese healthcare providers' attitudes towards oocyte cryopreservation: a cross-sectional study
    Lu, Jingjing
    Tian, Xuezi
    Wang, Zhaochen
    BMJ OPEN, 2024, 14 (03):
  • [32] Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh
    Md. Saiful Islam
    Abu Bakkar Siddique
    Rejina Akter
    Rafia Tasnim
    Md. Safaet Hossain Sujan
    Paul R. Ward
    Md. Tajuddin Sikder
    BMC Public Health, 21
  • [33] Knowledge, attitudes and perceptions towards COVID-19 vaccinations: a cross-sectional community survey in Bangladesh
    Islam, Md Saiful
    Siddique, Abu Bakkar
    Akter, Rejina
    Tasnim, Rafia
    Sujan, Md Safaet Hossain
    Ward, Paul R.
    Sikder, Md Tajuddin
    BMC PUBLIC HEALTH, 2021, 21 (01)
  • [34] Physical therapists' perceptions and attitudes towards artificial intelligence in healthcare and rehabilitation: A qualitative study
    Shawli, Lama
    Alsobhi, Mashael
    Chevidikunnan, Mohamed Faisal
    Rosewilliam, Sheeba
    Basuodan, Reem
    Khan, Fayaz
    MUSCULOSKELETAL SCIENCE AND PRACTICE, 2024, 73
  • [35] Perceptions and attitudes of different healthcare professionals and students toward interprofessional education in Saudi Arabia: a cross-sectional survey
    Algahtani, Hussein
    Shirah, Bader
    Bukhari, Hatim
    Alkhamisi, Hatem
    Ibrahim, Badr
    Subahi, Ahmad
    Aldarmahi, Ahmed
    JOURNAL OF INTERPROFESSIONAL CARE, 2021, 35 (03) : 476 - 481
  • [36] Chinese Oncologists'Perspectives on Integrating AI into Clinical Practice:Cross-Sectional Survey Study
    Li, Ming
    Xiong, Xiaomin
    Xu, Bo
    Dickson, Conan
    JMIR FORMATIVE RESEARCH, 2024, 8
  • [37] Paramedic attitudes towards prehospital spinal care: a cross-sectional survey
    McDonald, Neil
    Kriellaars, Dean
    Pryce, Rob T.
    BMC EMERGENCY MEDICINE, 2022, 22 (01)
  • [38] Paramedic attitudes towards prehospital spinal care: a cross-sectional survey
    Neil McDonald
    Dean Kriellaars
    Rob T. Pryce
    BMC Emergency Medicine, 22
  • [39] International pharmacy students' perceptions towards artificial intelligence in medicine-A multinational, multicentre cross-sectional study
    Busch, Felix
    Hoffmann, Lena
    Truhn, Daniel
    Palaian, Subish
    Alomar, Muaed
    Shpati, Kleva
    Makowski, Marcus Richard
    Bressem, Keno Kyrill
    Adams, Lisa Christine
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2024, 90 (03) : 649 - 661
  • [40] Community pharmacists' attitudes towards checking prescriptions: a cross-sectional survey
    van Loon, W. Ellen
    Lambert, Maarten
    Heringa, Mette
    Bouvy, Marcel L.
    Taxis, Katja
    INTERNATIONAL JOURNAL OF PHARMACY PRACTICE, 2024, 32 (05) : 363 - 368