{"title":"VoxRad: Building an open-source locally-hosted radiology reporting system","authors":"Ankush Ankush","doi":"10.1016/j.clinimag.2025.110414","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"119 ","pages":"Article 110414"},"PeriodicalIF":1.8000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899707125000142","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include:
-Body Imaging-
Breast Imaging-
Cardiothoracic Imaging-
Imaging Physics and Informatics-
Molecular Imaging and Nuclear Medicine-
Musculoskeletal and Emergency Imaging-
Neuroradiology-
Practice, Policy & Education-
Pediatric Imaging-
Vascular and Interventional Radiology
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