ChatGPT as an Example of Difference between Knowledge and Wisdom

Abstract

Dear Editor, I still remember my school class teacher’s words. Knowing that tomato is a fruit is knowledge, but not using it in a fruit salad is wisdom. As the world undergoes a transition toward artificial intelligence (AI), I could not resist myself from drawing comparison. Although the wide applications of ChatGPT or AI are yet to attain full leverage in the field of medicine, the initial impressions could not be ignored. AI is not new to most of us. The virtual assistant that pops up during Internet Banking or on any commercial service webpage is an example of the same. The symptom checker widely used by the public to explore disease diagnosis from medical symptoms is an example of AI. ChatGPT was launched in November 2022 by the OpenAI platform as an AI chatbot. Within a few months of launch, the AI reached 100 million users, surpassing even the commonly used Google + records. ChatGPT is capable of giving human-like answers to the questions posted, making it a popular tool. The ability of the AI to learn with time and refine its answers makes the tool more reliable. For the medical community, ChatGPT may help in assisting medical education for students and can summarize the medical records of patients. It may be able to recognize patterns in images, thereby assisting in radiology. The COVID pandemic has already sown the essential needs of telemedicine in scenarios when direct consultation may get difficult. AI may optimize the role of virtual assistants and improve remote patient monitoring standards. AI may provide updated information about drugs, flag rare drug interactions, and reduce errors in practice. AI may help in real-time medical translation and assist in providing patient information summary without technical jargon. It can analyze large volumes of data from different parts of the world and predict patterns in demographics. In addition to the above, AI may ease the calculation of disease activity and damage scores in rheumatology. However, AI may not be the right tool in certain situations. It may not be able to personalize the investigation or treatment as per patient time or sociodemographic needs. It may not deliver bad news with empathy and understanding of the patient’s mental state. It may never replace the art of bedside physical examination. Moreover, the answers from AI may get changed if there is a subtle change in the way the questions are asked. Furthermore, the consequences of wrong decisions may be difficult to address ethically and legally. To summarize, AI may not replace hands-on work in the field of medicine or personalize treatment understanding the real-life scenario of patients. However, it could save time on a lot of work that requires general understanding or documentation. This may reduce the burnout of health-care providers, thereby providing ample time to spend with patients. AI can assist or enhance knowledge if posted with the right questions. Maybe the art of asking the right questions at the right time will be all that matters when it comes to AI. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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