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Optimizing Causality-Based Radiology Reporting with Retrieval-Augmented and Structured Reasoning Approaches for the NTCIR-18 HIDDEN-RAD Task
https://doi.org/10.20736/0002002087
https://doi.org/10.20736/0002002087b798c2ce-98bb-43e9-ab82-f7cf27c69f37
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
04-NTCIR18-HIDDEN-RAD-ChoJ.pdf (863.3 KB)
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| アイテムタイプ | デフォルトアイテムタイプ（フル）(1) | |||||||||||||||
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| 公開日 | 2025-06-06 | |||||||||||||||
| タイトル | ||||||||||||||||
| タイトル | Optimizing Causality-Based Radiology Reporting with Retrieval-Augmented and Structured Reasoning Approaches for the NTCIR-18 HIDDEN-RAD Task | |||||||||||||||
| 言語 | en | |||||||||||||||
| 作成者 |
Ju-Min Cho
× Ju-Min Cho
× Ho-Jin Yi
× Myung-Kyu Kim
× Se-Jin Jeong
× Seung-Hoon Na
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| 内容記述 | ||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||
| 内容記述 | The nash team participated in the NTCIR-18 Hidden-RAD Task, focusing on generating causality-based diagnostic inferences from radiology reports. In Subtask 1, we applied a cost-efficient API-driven inference pipeline to recover hidden causalities within MIMIC-CXR reports. Our pipeline integrates few-shot in-context learning, retrieval-enhanced prompting, and strict candidate selection using an evaluation checklist. By leveraging retrieved similar cases to enrich the prompt dynamically, this approach achieved the highest ranking (1st place) in the official evaluation. In Subtask 2, we explored structured diagnostic reasoning using PRISMA-Guided Causal Explanation, applying prompt-based systematic reasoning to enhance interpretability. Our method, leveraging structured PRISMA flow with large language models, secured 2nd place in the official evaluation. Additionally, we investigated an alternative approach that combined fine-tuning and domain-specific prompting to improve model adaptability. While this method was not included in the final ranking, it demonstrated potential in enhancing domain-specific model interpretability. These findings contribute to the advancement of explainable AI (XAI) in radiology, bridging the gap between automated diagnosis and human expert decision-making. | |||||||||||||||
| 言語 | en | |||||||||||||||
| 出版者 | ||||||||||||||||
| 出版者 | NII Institutional Repository | |||||||||||||||
| 言語 | en | |||||||||||||||
| 日付 | ||||||||||||||||
| 日付 | 2025-06-06 | |||||||||||||||
| 日付タイプ | Issued | |||||||||||||||
| 言語 | ||||||||||||||||
| 言語 | eng | |||||||||||||||
| 資源タイプ | ||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||||||||
| 資源タイプ | conference paper | |||||||||||||||
| ID登録 | ||||||||||||||||
| ID登録 | 10.20736/0002002087 | |||||||||||||||
| ID登録タイプ | JaLC | |||||||||||||||
| 関連情報 | ||||||||||||||||
| 関連タイプ | isReferencedBy | |||||||||||||||
| 識別子タイプ | URI | |||||||||||||||
| 関連識別子 | https://research.nii.ac.jp/ntcir/ntcir-18/index.html | |||||||||||||||
| 言語 | en | |||||||||||||||
| 関連名称 | NTCIR-18 Conference | |||||||||||||||
| 開始ページ | ||||||||||||||||
| 開始ページ | none | |||||||||||||||
| 会議記述 | ||||||||||||||||
| 会議名 | NTCIR-18 Conference | |||||||||||||||
| 言語 | en | |||||||||||||||
| 回次 | 18 | |||||||||||||||
| 主催機関 | National Institute of Informatics | |||||||||||||||
| 言語 | en | |||||||||||||||
| 開始年 | 2025 | |||||||||||||||
| 開始月 | 6 | |||||||||||||||
| 開始日 | 10 | |||||||||||||||
| 終了年 | 2025 | |||||||||||||||
| 終了月 | 6 | |||||||||||||||
| 終了日 | 13 | |||||||||||||||
| 開催期間 | June 10-13, 2025 | |||||||||||||||
| 言語 | en | |||||||||||||||
| 開催会場 | National Institute of Informatics | |||||||||||||||
| 言語 | en | |||||||||||||||
| 開催国 | JPN | |||||||||||||||
