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临床试验/NCT05752045
NCT05752045招募中不适用

Validation of OphtAI Software Diagnostic Performance for Automated Screening of Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma, ARM and ARMD: a Multicentre Study

Evolucare Technologies19 个研究点 分布在 1 个国家目标入组 1,389 人开始时间: 2023年6月28日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
1,389
试验地点
19
主要终点
Referable Diabetic Retinopathy screening sensitivity/specificity

研究概览

简要总结

Evolucare OphtAI is a medical device offering automated, artificial intelligence powered, screening capabilities for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma, ARM and AMD, whose performances will by tested through the OphtAI-EVAL.

详细描述

OphtAI-Eval: is a prospective, multicentre, post-marketing clinical follow-up study (SCAC) of diagnostic validation (comparative vs gold standard).

It aims to: validate the diagnostic performance of the OphtAI software for the automated screening of diabetic retinopathy, diabetic macular edema, glaucoma, ARM and AMD.

Evolucare OphtAI is a medical imaging console for ophthalmology, interfaced with Evolucare Imaging.

It allows the detection, by statistical learning algorithms, of the following ocular pathologies using photographs of the retina:

  • Diabetic retinopathy (DR) (including gradation),
  • Diabetic macular edema (DME)
  • Age-related macular degeneration (AMD)
  • Age-related maculopathy (ARM, early form of AMD),
  • Glaucoma.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Screening
盲法
None

盲法说明

Ground truth and Results being obtained in the end of recruitment and imaging collection, there are no effects on participant or care provider. Also, experts won't be aware of AI results and vice versa.

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • The characteristics required for a subject to take part in the research are
  • Male or female over 18,
  • Type 1 or 2 diabetic,
  • Presenting for screening for diabetic retinopathy,
  • Beneficiary of a social security scheme,
  • For whom written consent has been obtained for participation in the protocol.

排除标准

  • The following characteristics do not allow the subject to take part in the research:
  • Patient with known DR, more severe than "minimal", including having been treated,
  • Any other condition that, in the opinion of the health professionals, may interfere with their ability to complete the study or may present a significant risk,
  • Presence of social, medical and/or psychological factors that may compromise the patient's adherence to the protocol,
  • Simultaneously participating in another clinical research protocol or having recently participated in another research study for which the exclusion period would not be completed.
  • Patients who participate in this research will not be able to participate in another research at the same time. However, there is no exclusion period at the end of this research for participation in any other study.

结局指标

主要结局

Referable Diabetic Retinopathy screening sensitivity/specificity

时间窗: 1 year

Referable Diabetic Retinopathy screening sensitivity/specificity evaluation (OphtAI software vs Expert reader) for RDR-EOphtha and RDR-OphDiaT_full algorithms

次要结局

  • Diabetic retinopathy grading + RDR-OphDiaT_full +DME algorithms combination sensitivity/specificity for RDR detection(1 year)
  • Diabetic retinopathy grading + RDR-OphDiaT_full algorithms combination sensitivity/specificity for RDR detection(1 year)
  • Diabetic retinopathy grading + RDR-EOphtha +DME algorithms combination sensitivity/specificity for RDR detection(1 year)
  • Diabetic Macular Edema algorithm sensitivity/specificityfor DME detection(1 year)
  • Glaucoma algorithms sensitivity/specificity for Glaucoma suspicion(1 year)
  • Diabetic retinopathy grading sensitivity/specificity(1 year)
  • Age-Related Macular Degeneration algorithm sensitivity/specificity for AMD detection(1 year)
  • Diabetic retinopathy grading + RDR-EOphtha algorithms combination sensitivity/specificity for RDR detection(1 year)
  • Quality algorithm accuracy for quality assessment(1 year)
  • Age-Related Maculopathy algorithm ("drusen") sensitivity/specificity for ARM detection(1 year)
  • Laterality determination algorithm accuracy for laterality assessment(1 year)

研究者

申办方类型
Industry
责任方
Sponsor

研究点 (19)

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