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      Intelligent Human Centered Computing : Proceedings of HUMAN 2023 

      ChatGPT: A OpenAI Platform for Society 5.0

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          Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

          We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the passing threshold for all three exams without any specialized training or reinforcement. Additionally, ChatGPT demonstrated a high level of concordance and insight in its explanations. These results suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making.
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            The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers

            (2023)
            ChatGPT is a generative language model tool launched by OpenAI on November 30, 2022, enabling the public to converse with a machine on a broad range of topics. In January 2023, ChatGPT reached over 100 million users, making it the fastest-growing consumer application to date. This interview with ChatGPT is part 2 of a larger interview with ChatGPT. It provides a snapshot of the current capabilities of ChatGPT and illustrates the vast potential for medical education, research, and practice but also hints at current problems and limitations. In this conversation with Gunther Eysenbach, the founder and publisher of JMIR Publications, ChatGPT generated some ideas on how to use chatbots in medical education. It also illustrated its capabilities to generate a virtual patient simulation and quizzes for medical students; critiqued a simulated doctor-patient communication and attempts to summarize a research article (which turned out to be fabricated); commented on methods to detect machine-generated text to ensure academic integrity; generated a curriculum for health professionals to learn about artificial intelligence (AI); and helped to draft a call for papers for a new theme issue to be launched in JMIR Medical Education on ChatGPT. The conversation also highlighted the importance of proper “prompting.” Although the language generator does make occasional mistakes, it admits these when challenged. The well-known disturbing tendency of large language models to hallucinate became evident when ChatGPT fabricated references. The interview provides a glimpse into the capabilities and limitations of ChatGPT and the future of AI-supported medical education. Due to the impact of this new technology on medical education, JMIR Medical Education is launching a call for papers for a new e-collection and theme issue. The initial draft of the call for papers was entirely machine generated by ChatGPT, but will be edited by the human guest editors of the theme issue.
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              The future of medical education and research: Is ChatGPT a blessing or blight in disguise?

              To the editor, With the rapid evolution of scientific literature and technology, experts rely more on new artificial intelligence models for convenience and easy access to needs. The introduction of extensive language model tools by Google and Meta use programs by taking human prompts and devising sophisticated responses [1]. A large amount of data and computing techniques are used to make predictions to combine words in a meaningful way. Similarly, a new viral bot, ‘ChatGPT’, was released by the artificial intelligence company ‘Open AI’ in November 2022. This bot has been attracting millions of users and investors, and scientists believe it can replace humans in the future. To make a revolutionary move, Open AI created a user interface to allow the public to experiment with it directly [1]. Since the introduction of ChatGPT, it has been tested on various domains to check its functioning in its natural and conversational mode by different industries. Numerous ways of using this chatbot are education and training, entertainment, predicting questions, scheduling and booking appointments, and debugging codes. In healthcare, it has been used to provide medical information and assistance, such as answering medical questions or providing differentials for common symptoms [2]. Recently, Kung et al. found that ChatGPT performed at or near the passing threshold for all three United States Medical Licensing Exams, suggesting that large language models can assist with medical education and clinical decision-making [3]. The real question is how much ChatGPT can impact the world of medical research. According to Dr. Biswas, ChatGPT can revolutionize medical writing by making it a quick and time-efficient process. It can extract information, assist in literature searches, and create a rough draft for the medical writer to work further upon [4]. Many scientific experts and journals reject ChatGPT because it lacks critical thinking and presents information redundantly and irrationally [5]. As per many educationists, ChatGPT is easily used by students enrolled in communication and philosophy courses to cheat in exams but is easily recognizable. A rising concern is that the students will eventually lose their ability to produce original ideas and will not be able to present proper arguments to prove a point [5]. Similarly, the issue with using ChatGPT in scientific papers is the accountability of the bot’s content. With that comes ethical concerns, medicolegal and copyright issues, lack of creative thinking and reasoning, methodological biases, and the inaccuracy of the content [4,6]. There has yet to be a governing body formed nor are there any established rules or limits on how much AI can be used. On experimenting with ChatGPT for research, it could easily help with writing the content of paper using the evidence from online search engines. Albeit, it lacked the capacity to perform a thorough literature search or critical analysis and discussion of articles as documented in the past [7]. The only evident benefit was a rephrased text that is not entirely plagiarism-free and depends on the specific command given to the bot. As pointed out by the experts at Mayo Clinic, Thomas Davenport and Nitin Mittal, the number of times ChatGPT can be misused is infinite. In the future, it can cause the human mind to become dormant to even fundamental tasks. Moreover, John Halamka (President, Mayo Clinic platform) and Paul Cerrato (Senior research analyst and communications specialist, Mayo Clinic platform) highlighted that one of the significant barriers to using ChatGPT is its existing training data, which is updated till 2021 [8]. This, along with restricted access to the main databases, such as PubMed and Cochrane, not only limits its usage to only abstract writing but raises questions about its work credibility. On testing ChatGPT’s ability to extract information from articles, it replied, ‘I’m sorry, but as a language model I don’t have the ability to perform a real-time search of medical databases such as PubMed or Cochrane. However, you can easily perform a search on these websites yourself.’ ChatGPT can be used as an add-on to constructive writing, reviewing material, and rephrasing the text rather than providing a whole original blueprint [7]. As medical literature is a constant process of updated research, the rising concern is that ChatGPT can now be easily used for writing papers, which may lack clinical reasoning and critical thinking. We need an intellectual human mind and a group of policies to cross-check the data generated by such AI systems and control their access. Similarly, medical professionals should introduce a surveillance system to ensure students do not use ChatGPT in medical assignments.
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                Book Chapter
                2023
                June 15 2023
                : 384-397
                10.1007/978-981-99-3478-2_33
                d5099d78-ffaf-442f-b68d-5af66dcacdd7
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