Temsah Mohamad-Hani, Altamimi Ibraheem, Jamal Amr, Alhasan Khalid, Al-Eyadhy Ayman
Pediatric Intensive Care Unit, King Saud University, Riyadh, SAU.
College of Medicine, King Saud University, Riyadh, SAU.
Cureus. 2023 Sep 6;15(9):e44769. doi: 10.7759/cureus.44769. eCollection 2023 Sep.
The exponential growth of ChatGPT in medical literature, amassing over 1000 PubMed citations by August 2023, underscores a pivotal juncture in the convergence of artificial intelligence (AI) and healthcare. This remarkable rise not only showcases its potential to revolutionize medical academia but also indicates its impending influence on patient care and healthcare systems. Notwithstanding this enthusiasm, one-third of these citations are editorials or commentaries, stressing a gap in empirical research. Alongside its potential, there are concerns about ChatGPT becoming a "Weapon of Mass Deception" and the need for rigorous evaluations to counter inaccuracies. The World Association of Medical Editors has released guidelines emphasizing that AI tools should not be manuscript co-authors and advocates for clear disclosures in AI-assisted academic works. Interestingly, ChatGPT achieved its citation milestone within nine months, compared to Google's 14 years. As Large Language Models (LLMs), like ChatGPT, become more integral in healthcare, issues surrounding data protection, patient privacy, and ethical implications gain prominence. As the future of LLM research unfolds, key areas of interest include its efficacy in clinical settings, its role in telemedicine, and its potential in medical education. The journey ahead necessitates a harmonious partnership between the medical community and AI developers, emphasizing both technological advancements and ethical considerations.
ChatGPT在医学文献中的指数级增长,到2023年8月已积累了超过1000篇PubMed引用,凸显了人工智能(AI)与医疗保健融合的关键转折点。这一显著增长不仅展示了其变革医学学术界的潜力,也表明了其对患者护理和医疗系统即将产生的影响。尽管有这种热情,但这些引用中有三分之一是社论或评论,强调了实证研究方面的差距。除了其潜力,人们还担心ChatGPT会成为一种“大规模欺骗武器”,以及需要进行严格评估以应对不准确之处。世界医学编辑协会发布了指导方针,强调人工智能工具不应成为稿件的共同作者,并提倡在人工智能辅助的学术作品中进行明确披露。有趣的是,ChatGPT在九个月内就达到了其引用里程碑,而谷歌则用了14年。随着像ChatGPT这样的大语言模型(LLMs)在医疗保健中变得更加不可或缺,围绕数据保护、患者隐私和伦理影响的问题日益突出。随着大语言模型研究的未来展开,关键的关注领域包括其在临床环境中的功效、在远程医疗中的作用以及在医学教育中的潜力。未来的征程需要医学界和人工智能开发者之间建立和谐的伙伴关系,既要强调技术进步,也要考虑伦理因素。