{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T09:30:56Z","timestamp":1774949456955,"version":"3.50.1"},"reference-count":29,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T00:00:00Z","timestamp":1725321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Artificial intelligence (AI) is transforming healthcare, yet little is known about Chinese oncologists\u2019 attitudes towards AI. This study investigated oncologists\u2019 knowledge, perceptions, and acceptance of AI in China.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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 (\u223c30) show significantly higher trust (<jats:italic>p<\/jats:italic>\u2009=\u20090.004) and acceptance (<jats:italic>p<\/jats:italic>\u2009=\u20090.009) of AI compared to older respondents, while trust is significantly higher among those with master\u2019s or doctorate vs. bachelor\u2019s degrees (<jats:italic>p<\/jats:italic>\u2009=\u20090.032), and acceptance is higher for those with prior IT experience (<jats:italic>p<\/jats:italic>\u2009=\u20090.035).Key drivers for AI adoption were improving efficiency (85.09%), quality (85.53%), reducing errors (84.65%), and enabling new approaches (73.25%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fdgth.2024.1371302","type":"journal-article","created":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T05:10:36Z","timestamp":1725340236000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey"],"prefix":"10.3389","volume":"6","author":[{"given":"Ming","family":"Li","sequence":"first","affiliation":[]},{"given":"Xiaomin","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Xu","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2024,9,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1038\/s41551-018-0305-z","article-title":"Artificial intelligence in healthcare","volume":"2","author":"Yu","year":"2018","journal-title":"Nat Biomed Eng"},{"key":"B2","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1038\/s41746-018-0061-1","article-title":"Machine learning and medical education","volume":"1","author":"Kolachalama","year":"2018","journal-title":"npj Digital Med"},{"key":"B3","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1016\/S0140-6736(23)00216","article-title":"The promise of large language models in health care","volume":"401","author":"Arora","year":"2023","journal-title":"Lancet"},{"key":"B4","doi-asserted-by":"publisher","first-page":"572","DOI":"10.3390\/diagnostics12030572","article-title":"Artificial intelligence in healthcare: laying the groundwork toward responsible and trustworthy medical AI applications","volume":"12","author":"Montani","year":"2022","journal-title":"Diagnostics"},{"key":"B5","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1038\/s41568-021-00399-1","article-title":"Artificial intelligence in cancer research, diagnosis and therapy","volume":"21","author":"Elemento","year":"2021","journal-title":"Nat Rev Cancer"},{"key":"B6","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41571-021-00560-7","article-title":"Predicting cancer outcomes with radiomics and artificial intelligence in radiology","volume":"19","author":"Bera","year":"2022","journal-title":"Nat Rev Clin Oncol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1038\/s43018-022-00436-4","article-title":"Artificial intelligence in histopathology: enhancing cancer research and clinical oncology","volume":"3","author":"Shmatko","year":"2022","journal-title":"Nat Cancer"},{"key":"B8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1038\/s41416-021-01633-1","article-title":"Artificial intelligence in oncology: current applications and future perspectives","volume":"126","author":"Luchini","year":"2022","journal-title":"Br J Cancer"},{"key":"B9","doi-asserted-by":"publisher","first-page":"1100","DOI":"10.1002\/cac2.12215","article-title":"Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine","volume":"41","author":"Chen","year":"2021","journal-title":"Cancer Commun (Lond)"},{"key":"B10","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s10916-010-9473-4","article-title":"Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals","volume":"36","author":"Gagnon","year":"2012","journal-title":"J Med Syst"},{"key":"B11","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1186\/1748-5908-3-41","article-title":"Factors influencing the adoption of an innovation: an examination of the uptake of the Canadian heart health kit (HHK)","volume":"3","author":"Scott","year":"2008","journal-title":"Implement Sci."},{"key":"B12","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1001\/jamadermatol.2021.1685","article-title":"Dermatologists perspectives on artificial intelligence and augmented intelligence - 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