ChatGPT: Proceed with caution

Abstract

ChatGPT is an artificial intelligence (AI) language model developed by OpenAI. It was launched on November 2022. ChatGPT is based on a technology called large language models (LLMs), which is a type of machine learning that uses massive amounts of data to train the algorithm. Unlike a chatbot, which is designed to simulate conversation with humans, ChatGPT is a text generation tool that can produce human-like responses to prompts given to it. This letter aims to bring about awareness of the capabilities of ChatGPT and other AI language models and the various hazards associated with their use. The author provided the following prompt to ChatGPT: “Write a 500 word scientific article on the use of ChatGPT in cancer research and treatment with citations.” The response was not edited. Referencing numbers had been added in the article that was generated by ChatGPT. A second prompt was given to provide the references. In this seemingly coherent article that has been reproduced below, ChatGPT invented.[2,3] The author could not find “McGinnis CS, & Meiler J. (2021). GPT-3 models of drug-target interaction predict competitive inhibition and suggest opportunities for multi-target drug design. PLoS Computational Biology, 17, e1008532.” and “Liang J, Liu H, & Shi H. (2020). ChatGPT: A tool for pediatric disease diagnosis. BMC Medical Informatics and Decision Making, 20, 293.” Thus, although these AI-based language models seem extremely valuable for our research in various capacities, reasonable precaution is mandatory, and facts need to be verified by humans. ChatGPT can generate content from the given prompts and improve texts but is far from creating valid research questions or ideas. ChatGpt in Cancer Research and Treatment Cancer research has been a major focus in the field of medicine; technology and machine learning have greatly aided researchers in their efforts. ChatGPT is a language model that has shown promise in assisting with cancer research, including providing information, generating ideas, and facilitating collaboration between researchers and healthcare professionals. One area where ChatGPT has been used in cancer research is in the analysis of large datasets. In a study by Chen et al. (2021),[1]ChatGPT was used to analyze radiomic data to differentiate between benign and malignant renal masses. The results showed that the combination of machine learning and radiomics was effective in accurately classifying the masses. This demonstrates the potential for ChatGPT to be used in the analysis of large datasets, which can otherwise be a time-consuming process for researchers. Another area where ChatGPT has been utilized is in generating hypotheses for future research. In a study by McGinnis and Meiler (2021),[2]ChatGPT was used to analyze drug-target interaction data and generate hypotheses for new drug candidates for cancer treatment. The results showed that ChatGPT was able to accurately predict potential drug-target interactions, demonstrating its potential in assisting with drug discovery. ChatGPT has also been used in the design of experiments. In a study by Liang et al. (2020),[3]ChatGPT was used to assist with the diagnosis of pediatric diseases. The results showed that ChatGPT was able to accurately diagnose pediatric diseases, providing a potential tool for healthcare professionals to improve patient outcomes. The use of ChatGPT in cancer research has several potential benefits. One major benefit is improved access to information. ChatGPT can quickly analyze large datasets and provide researchers with valuable insights that would otherwise take significant time and effort to obtain. This can help researchers make more informed decisions about their research and potentially lead to faster discoveries. Another benefit is the potential for ChatGPT to generate new ideas for future research. By analyzing data and identifying patterns, ChatGPT can suggest new hypotheses and research questions that researchers may not have thought of otherwise. This can lead to new discoveries and breakthroughs in cancer research. Additionally, ChatGPT can facilitate collaboration between researchers and healthcare professionals. By providing a platform for discussion and sharing of ideas, ChatGPT can help to break down barriers between different areas of expertise and promote collaboration between researchers and healthcare professionals. This can lead to a more integrated approach to cancer research and treatment, potentially improving patient outcomes. However, there are also limitations and challenges associated with using ChatGPT in cancer research. One major challenge is the lack of transparency in the decision-making process of ChatGPT. As an AI language model, ChatGPT is only as effective as the data it is trained on, and it is important to ensure that the data are unbiased and representative of the population being studied. Another challenge is the potential for ChatGPT to be misused. As with any technology, there is always the risk of misuse, and it is important to ensure that ChatGPT is used ethically and responsibly. In conclusion, ChatGPT has shown promise in assisting with cancer research, including analyzing data, generating ideas, and facilitating collaboration between researchers and healthcare professionals. The potential benefits of using ChatGPT in cancer research are significant, including improved access to information, generation of new ideas, and enhanced collaboration. However, there are also limitations and challenges associated with using ChatGPT, and it is important to ensure that it is used ethically and responsibly. Further research is needed to fully understand the potential of ChatGPT in cancer research and treatment and to address the challenges associated with its use. REFERENCES

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