Identification of follow up notion from radiologist dictated reports

从放射科医生口述的报告中识别后续概念

• 批准号: 530877-2018
• 负责人: Sadat, Fatiha
• 金额: $ 1.82万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664021
• 关键词: Identification; follow; up; notion; radiologist

Intelerad is a Canadian company with its Head Office in Montreal and additional Canadian offices in Calgary**and Toronto. The company designs and develops medical imaging software solutions from its Canadian offices**which allow hospitals, imaging centers, and radiology reading groups to access and interpret medical images in**order to establish a diagnosis.**By using the content available in radiology reports sourced directly from Intelerad's Picture Archiving and**Communication System (IntelePACS) solution, Intelerad is designing a management system to provide all**stakeholders along the continuum of care with the required information to ensure improved care by decreasing**the time to diagnosis and treatment.**Intelerad currently would like to enhance its ability to detect that a given report contains a follow-up**recommendation. In this project, Prof. Fatiha Sadat, a NLP and machine learning expert and Intelerad Medical**Systems Inc. will investigate methods to detect the presence of follow-up and based on research findings, will**propose enhancements or new approaches altogether to the developed proof of concept processing pipeline.

Intelerad是一家加拿大公司，总部设在蒙特利尔，在卡尔加里和多伦多设有办事处。该公司在其加拿大办事处**设计和开发医疗成像软件解决方案**，使医院、成像中心和放射学阅读小组能够访问和解释医学图像，以**建立诊断。**通过使用直接来自Intelerad的图像存档和通信系统（IntelePACS）解决方案的放射学报告中的可用内容，Intelerad正在设计一个管理系统，为所有利益相关者提供所需的信息，以确保通过减少诊断和治疗的时间来改善护理。**因特网目前希望加强其发现某一报告是否载有后续**建议的能力。在这个项目中，NLP和机器学习专家Fatiha Sadat教授和Intelerad Medical Systems Inc.将研究检测后续存在的方法，并根据研究结果，将对开发的概念验证处理管道提出改进或新方法。