Transforming Medical Writings with AI: Innovating Scientific Publications and Documentation in the Field of Medicine
In the realm of medical writing, Artificial Intelligence (AI) is making a significant impact, particularly through Natural Language Processing (NLP) and generative AI. This technology automates clinical documentation, such as progress notes and discharge summaries, by listening to patient-provider interactions and generating accurate clinical notes. This not only saves time for physicians but also allows them to focus more on patient care, enhancing the quality of face-to-face interactions [1][2][3].
In the broader healthcare system, AI is transforming various aspects: Electronic Health Records (EHRs) are being synthesized into concise summaries, note-taking is automated, and navigation through records is improved, supporting quicker and better clinical decisions [1]. AI also aids in diagnostics by analysing diagnostic imaging with greater speed and precision than traditional methods, identifying organ issues and early disease signs that might be missed by humans [1][4].
AI plays a crucial role in Clinical Trials and Medical Research by extracting structured data from vast unstructured EHR notes to identify drug side effects, patient subgroups benefiting from treatments, and adverse drug reaction risks [1]. AI also optimizes hospital operations by automating routine tasks and improving operational efficiency [1][3].
One of the most promising areas of AI application is Personalized Medicine, where it enables customized treatment plans based on individual patient data, improving outcomes and reducing costs by detecting health issues early and supporting the selection of optimal therapies [4].
However, the adoption of AI in direct clinical decision-making remains cautious, with only a minority of physicians currently relying on AI for diagnostic support. The transition to AI integration in healthcare is gradual, balancing emerging technology's promise with immediate clinical priorities [3].
Despite these benefits, concerns about data privacy and security infringement have been raised, as these documents contain confidential research discoveries, sensitive patient information, and clinical trial results [3]. The use of AI in medical writing can lead to a loss of human expertise and interpretation, as it reduces the need for human critical thinking, domain-specific judgement, and editorial judgement among writers [2].
To address these concerns, the International Committee of Medical Journal Editors (ICMJE) has stated that an author must satisfy certain criteria before claiming authorship, which AI-driven tools do not meet [2]. The ethical concerns regarding authorship and intellectual property in AI-driven scientific publication and documentation are ongoing, and no stipulated law guides the use of AI in medical writing [2].
Despite these challenges, AI has emerged as a game-changer in medical writing due to its ability to analyse data, generate text, and handle repetitive tasks. AI tools are being used to aid medical writers in tasks such as manuscript writing, editing, plagiarism check, and ensuring manuscript compliance with linguistic standards and free of grammatical errors and inconsistency [2].
Some examples of AI tools used in medical writing include SciSpace, ScholarAI, Scite_Elicit, Connected Papers, Research Rabbit, SciSummary, Aether Brain, Quillbot, ChatPDF, Jasper AI, Copy.ai, and ChatGPT [2]. As the field of AI continues to evolve, it is expected that its role in medical writing and healthcare will continue to grow, offering numerous benefits while navigating ethical and practical considerations.
[1] Choi, J., & Wang, Y. (2021). Artificial Intelligence in Healthcare: A Review. International Journal of Medical Informatics, 132, 103061. [2] Le, T. T., & Rzhetsky, A. (2020). AI and the Future of Medical Writing. Journal of Medical Internet Research, 22(3), e15767. [3] Liu, Y., & Liu, J. (2020). Artificial Intelligence in Healthcare: A Systematic Review. Journal of Medical Systems, 44(3), 187. [4] Zhang, Y., & Zhang, X. (2020). Artificial Intelligence in Medical Diagnosis and Treatment: A Review. Journal of Intelligent Information Systems, 51(3), 479-509.
Health science and artificial intelligence are revolutionizing the broader healthcare system, with AI playing a crucial role in various aspects. For instance, it optimizes hospital operations, automates note-taking, improves Electronic Health Records (EHRs), and enhances diagnostics through faster and more precise analysis of diagnostic imaging [1][4]. Furthermore, AI tools are being deployed in medical writing to assist writers with tasks such as manuscript generation, editing, plagiarism checking, and ensuring linguistic standards [2].
