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[Writing with a system-ChatGPT in the scientific practice of orthopedics and trauma surgery]
Philipp Zehnder1,2, Dominik Völk3, Conrad Ketzer3
1Klinik und Poliklinik für Unfallchirurgie, TUM Universitätsklinikum, Klinikum rechts der Isar, Ismaningerstr. 22, 81675, München, Deutschland. philipp.zehnder@mri.tum.de.
Abstract:
With the emergence of generative AI models such as ChatGPT, a new phase of scientific work is also beginning in orthopedics and trauma surgery. As a language-based deep learning model (LLM), ChatGPT offers a wide range of possible applications-especially in the creation, translation, and optimization of scientific texts. It supports authors in finding ideas, linguistic elaboration, and can even be used to check for plagiarism. It is a particularly valuable tool for non-native speakers. However, despite all the opportunities, its use involves considerable risks; studies show a high rate of incorrect or invented references. In addition, journals are sometimes flooded due to mass publication as a result of easier text generation. The scientific discourse, therefore, calls for clear rules on the use of LLM-particularly with regard to transparency, authorship, and the integrity of scientific work.

