Development and Validation of an Artificial-Intelligence-enabled Portable Colposcopy Device for Optimizing Triage Alternatives for HPV-based Cervical Cancer Screening

开发和验证人工智能便携式阴道镜设备,用于优化基于 HPV 的宫颈癌筛查的分诊方案

基本信息

  • 批准号:
    10416639
  • 负责人:
  • 金额:
    $ 60.41万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-05-20 至 2027-04-30
  • 项目状态:
    未结题

项目摘要

Abstract Cervical cancer is the second leading cause of death for women worldwide. Alarmingly, 85% of deaths occur in low and middle-income countries (LMICs), as they lack the health care infrastructure required for cytology-based screening, referral colposcopy diagnosis, and expert physicians, which have dramatically reduced the disease burden in high income countries (HICs). Highly sensitive human papillomavirus (HPV) testing has been effective at reducing the incidence and mortality from cervical cancer when directly coupled with treatment; however, a majority of women with HPV do not have cervical precancer, making HPV testing a poor triage test as overtreatment carries risks like hemorrhage and infertility. Colposcopy followed by biopsy, the preferred triage method in HICs, is untenable in most LMIC settings due to the cost of colposcopes and pathology facilities to process and interpret biopsy results. To make matters worse, women are lost to follow up in LMIC settings when a multi-visit model for cervical cancer screening is used. Visual Inspection with Acetic Acid (VIA), the World Health Organization recommended triage test following HPV testing, has widely varied sensitivity and specificity depending on the training level of the provider. In this proposal we are proposing a single visit model for precision diagnosis and treatment in LMICs for cervical cancer prevention. Two major technological tools are needed to implement this model: a low-cost method to perform imaging of the cervix and a machine learning algorithm to automate diagnosis in the absence of a provider. We have previously developed the Pocket Colposcope, which has shown high concordance with standard colposcopy at a fraction of the cost and validated it on thousands of women across nearly every continent. We are now in the process of developing a state-of-the-art convolutional neural network (CNN), called Colposcopy Automated Risk Evaluation (CARE), trained with Pocket colposcopy images to automate the diagnostic process. Our current prototype algorithm has been highly successful at classifying cervical pre-cancers from Pocket Colposcope images retrospectively. Our goals for this proposal are fourfold: 1) improve and generalize the performance of Pocket CARE using >10,000 National Cancer Institute (NCI) standard colposcopy images; 2) generate synthetic images to address domain shifts due to environmental and personnel changes between different clinical sites; 3) embed the CARE algorithm into our existing software to enable high quality image capture with the Pocket Colposcope for automated diagnosis 4) validate the performance of Pocket CARE prospectively with a clinical study in Kisumu, Kenya, a site where Pocket CARE would ultimately be adopted\. The deliverables for this proposal will be a fully validated Pocket CARE software ready for scale to different clinical scenarios based on location-specific cultural contexts and infrastructure and a comparative effectiveness of Pocket CARE to other publicly available algorithms and standard RI care.
摘要

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Elizabeth Anne BUKUSI其他文献

Elizabeth Anne BUKUSI的其他文献

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{{ truncateString('Elizabeth Anne BUKUSI', 18)}}的其他基金

Sustainable Development for Improved HIV Health and Prevention in Kenya (SD4H-Kenya)
肯尼亚改善艾滋病毒健康和预防的可持续发展(SD4H-肯尼亚)
  • 批准号:
    10872887
  • 财政年份:
    2023
  • 资助金额:
    $ 60.41万
  • 项目类别:
Simplifying PrEP delivery: One-stop service pathway to improve PrEP care efficiency and continuation in Kenya
简化 PrEP 交付:提高肯尼亚 PrEP 护理效率和持续性的一站式服务途径
  • 批准号:
    10547902
  • 财政年份:
    2022
  • 资助金额:
    $ 60.41万
  • 项目类别:
Simplifying PrEP delivery: One-stop service pathway to improve PrEP care efficiency and continuation in Kenya
简化 PrEP 交付:提高肯尼亚 PrEP 护理效率和持续性的一站式服务途径
  • 批准号:
    10688130
  • 财政年份:
    2022
  • 资助金额:
    $ 60.41万
  • 项目类别:
Enhancing PrEP outcomes among Kenyan adolescent girls and young women with a novel pharmacy-based PrEP delivery platform
通过基于药房的新型 PrEP 交付平台提高肯尼亚少女和年轻女性的 PrEP 效果
  • 批准号:
    10402054
  • 财政年份:
    2021
  • 资助金额:
    $ 60.41万
  • 项目类别:
Evaluating sexually transmitted infections among adolescent girls and young women within a pharmacy-based PrEP delivery model in Kenya.
在肯尼亚基于药房的 PrEP 交付模式中评估青春期女孩和年轻女性的性传播感染情况。
  • 批准号:
    10878139
  • 财政年份:
    2021
  • 资助金额:
    $ 60.41万
  • 项目类别:
SD4H Training Grant Supplement to Promote Diversity, Equity and Inclusion
SD4H 培训补助金补充,以促进多元化、公平和包容性
  • 批准号:
    10874195
  • 财政年份:
    2020
  • 资助金额:
    $ 60.41万
  • 项目类别:
Sustainable Development for Improved HIV Health and Prevention in Kenya (SD4H-Kenya)
肯尼亚改善艾滋病毒健康和预防的可持续发展(SD4H-肯尼亚)
  • 批准号:
    10348189
  • 财政年份:
    2020
  • 资助金额:
    $ 60.41万
  • 项目类别:
Sustainable Development for Improved HIV Health and Prevention in Kenya (SD4H-Kenya)
肯尼亚改善艾滋病毒健康和预防的可持续发展(SD4H-肯尼亚)
  • 批准号:
    10544044
  • 财政年份:
    2020
  • 资助金额:
    $ 60.41万
  • 项目类别:
Sustainable Development for Improved HIV Health and Prevention in Kenya (SD4H-Kenya)
肯尼亚改善艾滋病毒健康和预防的可持续发展(SD4H-肯尼亚)
  • 批准号:
    10254375
  • 财政年份:
    2020
  • 资助金额:
    $ 60.41万
  • 项目类别:
PrEP and dPEP: Doxycycline post-exposure prophylaxis for prevention of sexually transmitted infections among Kenyan women using HIV pre-exposure prophylaxis
PrEP 和 dPEP:强力霉素暴露后预防,用于使用 HIV 暴露前预防来预防肯尼亚妇女的性传播感染
  • 批准号:
    10223161
  • 财政年份:
    2019
  • 资助金额:
    $ 60.41万
  • 项目类别:

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