arXiv cs.CL· Houman Kazemzadeh, Kamyar Naderi·· 11 小时前AI 评分10
证据关联的放射学报告：面向结构化影像智能的人类监督参考架构（论文已撤回）
Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Structured Imaging Intelligence
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一篇提出人类监督、证据关联的结构化放射学报告参考架构的 arXiv 预印本已被作者撤回。该架构整合检查专用模板、语音转结构化处理、测量与分割捕获、受控 AI 辅助起草，并基于 DICOM、HL7 FHIR、RadLex、SNOMED CT 等标准实现互操作，定位为企业影像的结构化智能层而非自主报告生成器。作者称撤回源于项目组织与协作安排变化，属预防性决定，不代表发现科学错误。
正文 · 原文
This paper has been withdrawn by Houman Kazemzadeh PharmD
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Abstract:Radiology reports remain the primary mechanism by which imaging findings are communicated to clinical teams. However, much of the structured information behind these reports, including measurements, image evidence, prior comparisons, lesion identity, uncertainty, and terminology, often remains trapped in free text or fragmented across picture archiving and communication systems, radiology information systems, reporting workstations, worksheets, advanced visualization tools, and electronic health records. This paper proposes a human-supervised, evidence-linked reference architecture for structured radiology reporting. The framework combines exam-specific templates, speech-to-structure processing, measurement and segmentation capture, controlled AI-assisted drafting, and standards-based interoperability using DICOM, DICOM Structured Reporting, DICOM Segmentation, HL7 FHIR, RadLex, SNOMED CT, LOINC, and UCUM. The system is positioned not as an autonomous report generator, but as a structured intelligence layer for enterprise imaging that supports reviewed reporting, longitudinal comparison, clinical data reuse, governance, and integration with PACS, RIS, EHR, analytics, and registry workflows. The paper also discusses modality-specific deployment considerations, clinical safety risks, validation requirements, cybersecurity, privacy, quality management, and regulatory boundaries for AI-assisted radiology reporting systems.
| Comments: | Following changes in the organization and collaboration arrangements of the underlying project, the authors have decided to withdraw this preprint in its current form. This is a precautionary decision regarding the continued dissemination of the manuscript and does not indicate any identified scientific error |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2605.25120 [cs.CL] |
| (or arXiv:2605.25120v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.25120 arXiv-issued DOI via DataCite |
Submission history
From: Houman Kazemzadeh PharmD [view email]
[v1]
Sun, 24 May 2026 15:07:14 UTC (555 KB)
[v2]
Thu, 5 Nov 2026 20:06:32 UTC (1 KB) (withdrawn)
来源：arXiv cs.CL · arxiv.org