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Improving Quality and Patient Safety in Radiation Therapy by Integrating Multi-Disciplinary Criteria into an Artificial Intelligence System

Improving Quality and Patient Safety in Radiation Therapy by Integrating Multi-Disciplinary Criteria into an Artificial Intelligence System
通过将多学科标准集成到人工智能系统中，提高放射治疗的质量和患者安全
批准号：
270150
负责人：
Purdie Thomas G
金额：
$23.71万
依托单位：
University Health Network (Toronto)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2012
资助国家：
加拿大
项目状态：
已结题
起止时间：
2012-10-01 至 2015-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=270150&lang=en
关键词：
1211 Medical And Health Sciences 2603 Computer Vision 2605 Pattern Analysis And Machine Intelligence 2804 Expert Systems 9000 Health Sciences Automation Medical Physics Patient Safety Quality Assurance Radiation Oncology

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The delivery of radiation for the treatment of cancer is a complicated process that requires both clinical and technical expertise to ensure radiation treatments are safe and effective. Sub-optimal treatment plans have the potential to result in significa
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Clinical Deployment of an End-to-End Artificial Intelligence (AI)-only Radiotherapy Treatment Planning and Decision Support Workflow
Advancing Personalized Cancer Care with an Automated Radiomics-Based Radiation Therapy Method
  • 批准号：
    361213
  • 项目类别：
    Operating Grants
  • 资助金额：
    $20.13万
  • 财政年份：
    2016
  • 负责人：
    Purdie Thomas G
  • 依托单位：
    University Health Network (Toronto)