中国肿瘤医生对医疗领域人工智能的态度和看法:一项横断面调查。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2024-09-03 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1371302
Ming Li, Xiaomin Xiong, Bo Xu
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引用次数: 0

摘要

背景:人工智能(AI)正在改变医疗行业,但中国肿瘤医生对人工智能的态度却鲜为人知。本研究调查了中国肿瘤医生对人工智能的了解、看法和接受程度:方法:对全国 228 名肿瘤学家进行了横向在线调查。调查使用 5 点李克特量表对人口统计学、人工智能接触、知识和态度以及影响人工智能应用的因素进行了研究。数据采用描述性统计和卡方检验进行分析:受访者对人工智能概念的了解程度一般(平均值为 3.39/5),年轻肿瘤医生对人工智能的了解程度更高。只有 12.8% 的人使用 ChatGPT。大多数受访者(74.13%)认为人工智能是有益的,可以创新医疗保健,52.19%的受访者表示信任人工智能技术。受访者对人工智能技术的接受度持谨慎乐观态度(平均值为 3.57/5)。与年龄较大的受访者相比,年轻受访者(30 岁以下)对人工智能的信任度(p = 0.004)和接受度(p = 0.009)明显更高,而硕士或博士学位受访者对人工智能的信任度明显高于学士学位受访者(p = 0.采用人工智能的主要驱动因素是提高效率(85.09%)、质量(85.53%)、减少错误(84.65%)和启用新方法(73.25%):结论:中国肿瘤医生对医疗人工智能持开放态度,但鉴于其局限性,他们仍持谨慎乐观的态度。有针对性的教育,尤其是针对年长肿瘤医生的教育,可以促进人工智能的实施。人工智能因其在提高效率、质量、安全性和肿瘤实践创新方面增强人类作用的潜力而受到广泛欢迎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey.

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 (∼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.

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