Analyzing the Future of ChatGPT in Medical Research: A Pre-Print Investigation

Analyzing the Future of ChatGPT in Medical Research: A Pre-Print Investigation

DOI: 10.4018/978-1-6684-9300-7.ch011
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Abstract

ChatGPT, an advanced language model based on the GPT-3.5 architecture developed by OpenAI, has garnered significant attention and widespread discussions across various domains. Students, educators, professionals, and businesses alike are engaging in dialogues about the capabilities and potential applications of this cutting-edge technology. The objective of the study is to seek current research directions of ChatGPT by looking at various pre-print servers. The current research surrounding ChatGPT demonstrates a growing interest in its application within the context of medical examination boards. Researchers have observed the potential of ChatGPT as a beneficial tool in supporting medical assessments and evaluations. Other research directions include literature synthesis and clinical decision.
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Results And Discussion

The available pre-print encompasses a wide range of investigations exploring the application and performance of ChatGPT in various medical education and healthcare scenarios. These studies delve into areas such as medical examination boards, clinical decision support, radiology reporting, ophthalmological emergencies, treatment options for specific medical conditions, and more. Researchers assess the accuracy, reliability, and potential biases of ChatGPT's responses compared to human experts in medical knowledge and decision-making. Furthermore, the studies investigate the model's proficiency in different languages, such as Chinese and Arabic, and its ability to generate billing codes and predict cardiovascular disease risk. Some research focuses on identifying phenotypes of specific diseases using artificial intelligence, while others explore the implications of large language models on health equity and bias. Overall, these investigations shed light on the strengths, limitations, and promising applications of ChatGPT in the medical field, providing valuable insights for the advancement of healthcare and medical education.

The Table 1 depicts the expected research areas and themes concerning the integration of ChatGPT (Conversational AI language model) in medical education. The question seeks to explore the forthcoming investigations that aim to leverage ChatGPT technology to enhance and innovate medical education practices, highlighting the potential benefits and challenges in this evolving field.

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