Dr Md Nahid Hassan Nishan, Graduate Student, Department of Public Health, North South University, Dhaka, Bangladesh; E-mail:
Mymensingh Med J. 2024 Oct;33(4):1219-1229.
In the changing field of healthcare, AI models based on GPT technology have the potential to bring about changes in how diseases are diagnosed and treated. Despite global enthusiasm, there is a critical gap in exploring the acceptance and awareness of these AI tools among doctors in Bangladesh. This investigation becomes crucial as it navigates the challenges faced by physicians in middle-income countries like Bangladesh, providing a foundation for future implementations and advancements in AI-assisted healthcare. Therefore, this study aims to explore the acceptance and awareness of GPT-based AI for clinical practice among doctors in Bangladesh. In this study, we looked at 398 registered physicians in Bangladesh. The research used a convenient sampling method and employed a questionnaire to collect information. The size of the sample was chosen using a calculation for a 95% confidence level. Statistical analysis included looking at combined data, calculating frequencies and percentages well, and using the Chi-square test and multivariate logistic regression bivariate and multivariate analysis was done. All statistical analysis was done using Stata 17 software. This study examines GPT-based AI acceptance and awareness among Bangladeshi physicians. Key findings reveal a prevalence of 26.13% for acceptance and 71.11% for awareness. Acceptance significantly varies with age (p=0.013), preferring those aged 21-30. Gender (p=0.001) influences awareness, showing in females. Physicians aged 41-50 exhibit lower acceptance odds (AOR=0.13), and females have decreased acceptance odds (AOR=0.29). Demographics don't significantly impact awareness. This study sheds light on Bangladeshi doctors' views on GPT-based AI in healthcare. While some actively support its use, a majority are aware. Age, gender, and workplace influence acceptance. Tailored strategies are vital for addressing concerns. Future research should focus on understanding physicians' adoption of GPT-based AI.
在医疗保健领域不断变化的格局下,基于 GPT 技术的人工智能模型有可能改变疾病的诊断和治疗方式。尽管全球对此热情高涨,但在探索孟加拉国医生对这些人工智能工具的接受度和认知度方面,仍存在一个关键的差距。这项研究至关重要,因为它探讨了像孟加拉国这样的中等收入国家的医生所面临的挑战,为未来在人工智能辅助医疗保健方面的实施和发展奠定了基础。因此,本研究旨在探索孟加拉国医生对基于 GPT 的人工智能在临床实践中的接受度和认知度。
在这项研究中,我们调查了孟加拉国的 398 名注册医生。研究采用方便抽样法,使用问卷收集信息。样本量的选择是根据 95%置信水平的计算得出的。统计分析包括查看综合数据、计算频率和百分比,以及使用卡方检验和多元逻辑回归。所有的统计分析都是使用 Stata 17 软件进行的。
本研究考察了孟加拉国医生对基于 GPT 的人工智能的接受度和认知度。主要发现显示,接受度的比例为 26.13%,认知度的比例为 71.11%。接受度与年龄显著相关(p=0.013),更倾向于 21-30 岁的医生。性别(p=0.001)影响认知度,女性表现出更高的认知度。41-50 岁的医生接受度的优势比(AOR)为 0.13,而女性的接受度优势比(AOR)为 0.29。人口统计学特征对认知度没有显著影响。
本研究揭示了孟加拉国医生对基于 GPT 的人工智能在医疗保健中的看法。虽然一些人积极支持其使用,但大多数人都有所了解。年龄、性别和工作场所影响接受度。有针对性的策略对于解决担忧至关重要。未来的研究应该侧重于理解医生对基于 GPT 的人工智能的采用。