Global Applications of GPT in Cancer for Screening, Diagnosis and Treatment - a Comprehensive Review (Preprint)

Abstract

<sec> <title>UNSTRUCTURED</title> Objective: GPT has demonstrated its powerful medical applications. The objective of this paper is to summarize and analyze the current clinical case research on GPT in cancer screening, diagnosis and treatment, thereby advancing the real-world applications of GPT in the field of oncology. Materials and Methods: Here, we present a comprehensive introduction and valuable insights into the potential applications of the Generative Pre-trained Transformer (GPT) approach in cancer screening, diagnosis, and treatment. Results: We note that GPT can assist in early cancer screening. Its capabilities, including automated report generation and cancer biomarker analysis, provide accurate screening results and facilitate the creation of personalized treatment plans by healthcare professionals. Furthermore, GPT can predict the effectiveness of various therapies and potential side effects, considering the patient’s clinical characteristics and cancer types. This predictive capacity provides robust decision-making support to clinicians. Throughout the treatment process, GPT enables real-time disease progression monitoring, providing timely feedback and optimizing treatment strategies to improve treatment efficacy. Discussion: The utilization of GPT offers the opportunity to establish an advanced and comprehensive framework for cancer screening, diagnosis and treatment, characterized by enhanced precision and broad applicability. Conclusion: Overall, GPT approach has the potential to greatly improve the medical experience and enhance therapeutic efficacy for cancer patients. </sec>

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