ChatGPT in anesthesiology practice – A friend or a foe

Abstract

The term “GPT” refers to the neural network learning model known as Generative Pre-Trained Transformer (GPT), which enables machines to perform NLP (natural learning process) tasks.[1] ChatGPT is a chatbot with artificial intelligence that can handle any text-based task. ChatGPT can generate enormous quantities of code much faster and possibly more accurately than humans. ChatGPT can react to a wide range of requests in a human-like manner, making it an ideal tool for healthcare applications. ChatGPT is transforming the way healthcare providers care for their patients, and these findings suggest that big language models could be effective in anesthesiology practice and, possibly, clinical decision-making. We searched its database and found out how it can be helpful to anesthesia providers and also tried to explore its downsides as summarized in Table 1.Table 1: Chat GPT- usefulness and downsides for anaesthesiologistsWhile ChatGPT is a fascinating tool, it is still too early to rely on it for all medical content needs. The tool has limitations that make obtaining accurate information difficult at times. ChatGPT is deficient in contextual knowledge, individualization, human touch, therapeutic experience, data protection, and natural language interpretation. Anesthesiologists must present all relevant information to ChatGPT in order to receive the most accurate and applicable advice, and they must personalize their care plan to the unique needs of each patient. It is imperative that anaesthesiologists should use their own clinical judgement and experience to confirm and interpret ChatGPT's recommendations. Furthermore, it cannot personalize its responses to technological issues such as outages, glitches, and failures can have a detrimental impact on the user experience. Anesthesiologists require a method for dealing with these issues swiftly and efficiently during a crisis situation. Although ChatGPT's recommendations are based on data analysis and patterns, it lacks the clinical expertise and knowledge of a professional anesthesiologist. Anesthesiologists must use their clinical expertise and experience to evaluate and understand ChatGPT's suggestions. ChatGPT's recommendations are based on patient data. Anesthesiologists must follow best practices for data security and the preservation of patient privacy and confidentiality. ChatGPT should be used in conjunction with clinical discretion and expertise by anesthesiologists, and they should be conscious of its potential limits. Despite its outstanding capabilities, GPT-3 is not a perfect model and occasionally fails to read complex queries or context-specific language correctly. As a result, one may receive responses that are confusing or unrelated to their inquiry. Providers should have strict data protection and privacy policies in place to avoid data breaches or other forms of unauthorized access. Conclusion ChatGPT can be incredibly useful for anesthesiologists, especially for dosing, obtaining assistance in retrieving research materials, or getting guidance for performing certain procedures. It can save time for scholars, particularly those who are new to publishing articles. It can also be a useful tool for non-native English speakers to improve their writing. ChatGPT in anesthesiology should be used with caution due to lack of backed evidence, incomplete information, lack of recent advancement in knowledge since its data dates back to 2021, inability to handle images, low performance, and potential plagiarism. It needs to be properly evaluated with backed recommendations and referencing to prevent any negative impact of its potential misuse. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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