Generative artificial intelligence (AI) has become integral to medical writing, offering significant benefits in linguistic refinement and efficiency, particularly for non-native English speakers. However, its adoption is challenged by risks such as reference fabrication, authorship disputes, and data confidentiality breaches. While major publishers have introduced AI-related policies, significant heterogeneity remains in their operational granularity and technical requirements. This lack of harmonization creates "regulatory uncertainty" for researchers, necessitating an expert-led consensus to provide consistent, practice-oriented guidance while safeguarding research integrity.
Consensus on the application of generative artificial intelligence in medical manuscript writing
Huang, Guangtao;Pra, Ilaria Dal';Wu, Jun
2026-01-01
Abstract
Generative artificial intelligence (AI) has become integral to medical writing, offering significant benefits in linguistic refinement and efficiency, particularly for non-native English speakers. However, its adoption is challenged by risks such as reference fabrication, authorship disputes, and data confidentiality breaches. While major publishers have introduced AI-related policies, significant heterogeneity remains in their operational granularity and technical requirements. This lack of harmonization creates "regulatory uncertainty" for researchers, necessitating an expert-led consensus to provide consistent, practice-oriented guidance while safeguarding research integrity.| File | Dimensione | Formato | |
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