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VoxRad:构建一个开源的本地托管放射学报告系统。

VoxRad: Building an open-source locally-hosted radiology reporting system.

作者信息

Ankush Ankush

机构信息

LN Medical College & JK Hospital, Kolar Road, Bhopal, Madhya Pradesh, India.

出版信息

Clin Imaging. 2025 Mar;119:110414. doi: 10.1016/j.clinimag.2025.110414. Epub 2025 Jan 25.

DOI:10.1016/j.clinimag.2025.110414
PMID:39884167
Abstract

VoxRad is an open-source application designed to enhance radiology reporting by leveraging generative AI. Utilizing locally hosted Automatic Speech Recognition (ASR) and Large Language Models (LLM), VoxRad enables continuous dictation, transcribing reports into standardized formats with high accuracy, efficiency, and data security. The modular design allows flexible integration of user-selected ASR and LLM models via OpenAI-compatible APIs, ensuring HIPAA compliance with secure local storage of data. Customizable template guided prompting using Chain-of-Thought like systematic processing, and specialized dictionaries further optimize report generation. VoxRad's future aims include healthcare system integration and community-driven template libraries, enhancing its utility for the medical community.

摘要

VoxRad是一款开源应用程序,旨在通过利用生成式人工智能来改进放射学报告。VoxRad利用本地托管的自动语音识别(ASR)和大语言模型(LLM),实现连续听写,将报告高精度、高效且安全地转录为标准化格式。模块化设计允许通过与OpenAI兼容的应用程序编程接口(API)灵活集成用户选择的ASR和LLM模型,确保符合《健康保险流通与责任法案》(HIPAA)并实现数据的安全本地存储。使用类似思维链的系统处理方式进行可定制模板引导提示,以及专用词典进一步优化报告生成。VoxRad未来的目标包括医疗系统集成和社区驱动的模板库,以增强其对医疗界的实用性。

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