Almanaa Mansour
Radiological Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, SAU.
Cureus. 2024 Sep 23;16(9):e70008. doi: 10.7759/cureus.70008. eCollection 2024 Sep.
The rapid advancement of artificial intelligence (AI) in medical imaging has generated significant interest and debate among healthcare professionals, researchers, and the general public. This study aims to explore trends and public perception of AI in medical imaging by analyzing social media discussions. Using a retrospective content analysis approach, social media posts from X (formerly known as Twitter) and Reddit were collected, covering discussions from 2019 to 2024. A total of 1,022 posts were analyzed after data cleaning, employing both qualitative and quantitative methods to examine sentiment, themes, and keyword frequencies. The sentiment analysis revealed that 55% of the comments expressed positive sentiments towards AI in medical imaging, emphasizing its potential to enhance diagnostic accuracy and efficiency. Neutral sentiments accounted for 35% of the posts, while 10% expressed negative sentiments, primarily focusing on concerns related to job displacement, ethical issues, and data privacy. Thematic analysis identified four primary themes: ethical and privacy concerns, job displacement, trust and reliability, and workflow efficiency. Keyword frequency analysis highlighted significant discussions around AI, imaging, and radiology. The results underscore both the optimism and concerns associated with AI in medical imaging, emphasizing the need for ongoing dialogue among technology developers, healthcare providers, and the public. Addressing ethical and privacy concerns, and integrating AI responsibly into clinical workflows, is crucial for maximizing its benefits and minimizing potential risks. These findings provide valuable insights into public perceptions and inform strategies for the effective and ethical implementation of AI technologies in healthcare.
人工智能（AI）在医学成像领域的迅速发展引起了医疗保健专业人员、研究人员和公众的广泛关注与讨论。本研究旨在通过分析社交媒体讨论来探索医学成像中人工智能的趋势和公众认知。采用回顾性内容分析方法，收集了来自X（前身为Twitter）和Reddit的社交媒体帖子，涵盖2019年至2024年的讨论。在数据清理后，共分析了1022篇帖子，采用定性和定量方法来检查情绪、主题和关键词频率。情绪分析显示，55%的评论对医学成像中的人工智能表达了积极情绪，强调其提高诊断准确性和效率的潜力。中性情绪占帖子的35%，而10%表达了负面情绪，主要集中在对工作岗位替代、伦理问题和数据隐私的担忧上。主题分析确定了四个主要主题：伦理和隐私问题、工作岗位替代、信任和可靠性以及工作流程效率。关键词频率分析突出了围绕人工智能、成像和放射学的重要讨论。结果强调了与医学成像中人工智能相关的乐观情绪和担忧，强调技术开发者、医疗保健提供者和公众之间持续对话的必要性。解决伦理和隐私问题，并将人工智能负责任地整合到临床工作流程中，对于最大限度地发挥其益处和最小化潜在风险至关重要。这些发现为公众认知提供了有价值的见解，并为在医疗保健中有效和符合伦理地实施人工智能技术提供了策略依据。
