Introducing Artificial Intelligence and Machine Learning Tools Into the Medical Writing Workflow
DOI:
https://doi.org/10.55752/amwa.2024.367Abstract
Artificial intelligence (AI) and machine learning (ML) tools have been used across all spectrums of the drug development process. The US Food and Drug Administration has accepted over 100 submissions that cite the use of AI that has assisted with clinical trial recruitment, drug discovery, and dose optimization. With these insights in mind, health authorities expect the use of AI and ML tools in regulatory processes and is working to provide meaningful oversight. In medical writing, AI and ML sources have been essential to the writing process by formatting documents, designing study protocols, analyzing manuscripts, and communicating complex scientific information to lay audiences. The technological advances of AI and ML are rapidly evolving, and there is indeed a place for such technologies in the medical writer’s resource toolbox.
Downloads
Published
How to Cite
Issue
Section
License
Copyright Notice
Authors of manuscripts accepted for publication retain copyright in their work but are required to grant to AMWA exclusive worldwide first publication rights and further grant a nonexclusive license for other uses of the manuscript for the duration of their copyright as outlined in the Agreement on Authors' Rights and Responsibilities. In the same agreement, authors are required to confirm that the material submitted for publication, both in its paper and electronic versions, including reproductions of other works (eg, photographs, maps, etc.) does not infringe upon any existing copyright.
Any reproduction within two years following the date of publication requires the permission of the Editor-in-Chief of the AMWA Journal.
Contact managingeditor@amwa.org for all requests for reuse.