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Generative artificial intelligence and academic writing: friend or foe?
Jérémie F Cohen1, David Moher2
1Department of General Pediatrics and Pediatric Infectious Diseases, Necker-Enfants Malades Hospital, AP-HP, Université Paris Cité, Paris, France; Center of Research in Epidemiology and Statistics, INSERM UMR 1153, Université Paris Cité, Paris, France.
Generative artificial intelligence (AI) offers new possibilities for medical writing but also presents risks. Further research is needed to optimize its use and address potential challenges in the field.
Area of Science:
- Medical Writing
- Artificial Intelligence
- Scientific Communication
Background:
- Generative artificial intelligence (AI) is rapidly evolving.
- The integration of AI into various professional fields is increasing.
- The specific implications for medical writing require careful consideration.
Purpose of the Study:
- To examine the application of generative AI models in medical writing.
- To discuss the potential benefits and drawbacks of using AI in this domain.
- To identify areas for enhancement and future research directions.
Main Methods:
- This is a viewpoint article, not based on empirical data collection.
- It involves a critical analysis of current trends and literature.
- Expert opinion and theoretical discussion form the basis of the examination.
Main Results:
- Generative AI presents significant opportunities for efficiency and innovation in medical writing.
- Potential threats include issues related to accuracy, ethics, and job displacement.
- Specific use cases and challenges are identified.
Conclusions:
- Generative AI holds transformative potential for medical writing.
- Proactive strategies are necessary to mitigate risks and maximize benefits.
- Further investigation into AI's role and ethical considerations is crucial.
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