Kelly Brendan D
Department of Psychiatry, Trinity College Dublin, Trinity Centre for Health Sciences, Tallaght University Hospital, Tallaght 24, Dublin D24 NR0A, Ireland.
Int J Law Psychiatry. 2025 Jul-Aug;101:102105. doi: 10.1016/j.ijlp.2025.102105. Epub 2025 May 3.
The current and potential impact of various applications of artificial intelligence (AI) to the field of academic publishing in psychiatry is the subject of increasing attention. At present, AI algorithms assist in data analysis, allowing researchers to process large datasets quickly and uncover complex patterns that would be challenging to detect manually. In psychiatry, this capability can potentially help integrate data from genetics, neuroimaging, and clinical assessments. AI-driven natural language processing (NLP) tools might also facilitate systematic reviews and meta-analyses by automating the extraction and synthesis of information from vast bodies of published literature. In publishing, AI can potentially help to streamline the publication process in certain ways. Automated systems might screen manuscripts for methodological rigor, ethical compliance, and potential conflicts of interest, thereby reducing the burden on editors by prompting them to consider certain matters, and possibly accelerating the publication timeline. AI-powered tools are already used to help with dissemination of research findings by generating summaries and identifying key insights, making information more accessible to a broader audience. In the future, AI has the potential to enhance psychiatric publishing in various other ways. Predictive analytics might identify emerging trends and research gaps in the literature, guiding future studies and funding priorities, although this remains speculative for now. AI could also facilitate more robust collaborations by connecting researchers with complementary expertise and interests. Additionally, the integration of AI in digital platforms could democratise access to cutting-edge research, promote global knowledge sharing, and accelerate advancements in clinical care. As AI continues to evolve, its applications in research and publishing hold the potential to drive significant progress in understanding and treating mental disorders. It is essential that these developments are accompanied by openness about the use of AI in publishing, with clear declarations by authors and publishers about the use of specific applications in published work.
人工智能（AI）在精神病学学术出版领域的各种应用所产生的当前及潜在影响正日益受到关注。目前，AI算法有助于数据分析，使研究人员能够快速处理大型数据集，并发现手动检测具有挑战性的复杂模式。在精神病学中，这种能力可能有助于整合来自遗传学、神经影像学和临床评估的数据。AI驱动的自然语言处理（NLP）工具还可能通过自动从大量已发表文献中提取和综合信息来促进系统评价和荟萃分析。在出版方面，AI可能在某些方面有助于简化出版流程。自动化系统可能会对手稿进行方法严谨性、伦理合规性和潜在利益冲突的筛选，从而通过促使编辑考虑某些事项减轻他们的负担，并可能加快出版时间表。基于AI的工具已经被用于通过生成摘要和识别关键见解来帮助传播研究结果，使更广泛的受众更容易获取信息。未来，AI有潜力以各种其他方式加强精神病学出版。预测分析可能会识别文献中出现的趋势和研究空白，指导未来的研究和资金优先事项，不过目前这仍具有推测性。AI还可以通过将具有互补专业知识和兴趣的研究人员联系起来促进更强大的合作。此外，将AI集成到数字平台中可以使获取前沿研究民主化，促进全球知识共享，并加速临床护理的进步。随着AI不断发展，其在研究和出版中的应用有可能推动在理解和治疗精神障碍方面取得重大进展。至关重要的是，这些发展要伴随着在出版中使用AI的开放性，作者和出版商要明确声明在已发表作品中使用特定应用的情况。
