Apr 17, 2023 · We propose ImpressionGPT, which leverages the in-context learning capability of LLMs by constructing dynamic contexts using domain-specific, individualized ...

Feb 12, 2024 · Thus, in this work, we leveraged the text understanding and summarization capability of ChatGPT for the task of generating the “Impression” ...

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. Update. [2024.02.12] This work has been published in IEEE ...

In this study, we utilized ChatGPT and optimized its generated result for radiology report summarization. An iterative optimization algorithm is designed and ...

The proposed ImpressionGPT model achieves superior performance of AIG task on both the Medical Information Mart for Intensive Care - Chest X-ray database ...

For example, it has been applied to evaluate the quality of medical report summaries in radiology [9] and the comparison of text summaries generated by ChatGPT ...

Jul 15, 2023 · The goal of this approach is to allow ChatGPT to iteratively refine its answer through the use of an iterative prompt. Important for high-stakes ...

May 8, 2024 · The paper proposes the ImpressionGPT model, which leverages the in-context learning capabilities of large language models (LLMs) to generate radiology report ...

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ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. OpenI-Report dataset. 1. Download. Download at OpenI-Reports.