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Potentials of ChatGPT in Anatomy Research: A Conversation With ChatGPT
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2
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2025
Jahr
Abstract
BACKGROUND: The field of natural language processing (NLP) has experienced considerable growth in recent times, advancing towards the capability of human-like language production. Among these developments, ChatGPT (OpenAI, San Francisco, CA, USA) is an excellent language model efficient in producing rational and contextually pertinent text responses. Its capability to comprehend and react to user inputs has created new opportunities for a wide range of implementations, encompassing research and publication. This study intended to evaluate the capabilities of ChatGPT and its optimal utilisation in anatomy research (AR). METHODOLOGY: The study included 22 prompts, which were submitted to ChatGPT after obtaining an online subscription to the Plus plan. These prompts were formulated after consensus among the investigators. The chatbot's responses were documented and assessed with regard to relevance, precision, and reliability. RESULTS: ChatGPT was observed to be helpful for the investigators to discover the potential topics for exploration in anatomy and recognise research gaps in existing literature. The chatbot created a good synopsis of an article and wrote a satisfactory literature review and research proposal on the presented topic. It was noted to provide adequate assistance to the researchers in the preparation of the manuscript and was quite capable of suggesting the applicable statistical test for any given data. The chatbot also performed various statistical tests and provided assistance in the graphical visualisation of the data by drawing histograms, box plots, and scatter plots. CONCLUSIONS: ChatGPT can be a valuable interactive tool for the investigators with the capacity to play a fundamental role in AR if utilised methodically. It provides considerable assistance to the anatomy researchers during the selection of research topics, writing of research proposals, preparation of the manuscript, and carrying out of statistical analysis.
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