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临床试验/NCT07378891
NCT07378891Enrolling By Invitation不适用

Künstliche Intelligenz (KI)-gestützte Früherkennung Der Diabetischen Retinopathie (FUNDUS-KI)

University Hospital Tuebingen1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2025年12月1日最近更新:
适应症

试验速览

阶段
不适用
状态
Enrolling By Invitation
入组人数
100
试验地点
1
主要终点
Assessment of retinal changes

研究概览

简要总结

Examination of individuals with prediabetes and established diabetes for early signs of diabetic retinopathy.

详细描述

Fundus images are acquired and analyzed using an AI algorithm. The fundus images are captured using two devices: a stationary fundus camera (CenterVue DRSplus) and the Optomed Aurora IQ handheld fundus camera. Retinal images are examined using AI-based image analysis.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 80 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Voluntary adults
  • Aged between 18 and 80 years
  • Understanding of the study explanations and instructions
  • Prediabetes (defined by elevated fasting glucose 100-125 mg/dL and/or 2-hour glucose in the oral glucose tolerance test of 140-199 mg/dL and/or HbA1c of 5.7-6.4%)
  • manifest diabetes (all types of diabetes according to Ahlqvist)

排除标准

  • participants unable to give consent
  • Those who do not agree to be informed about incidentally detected pathological findings
  • Uncontrolled arterial hypertension (Stage III) despite multiple antihypertensive medications
  • Eye diseases that impair the interpretability of the fundus examination

研究组 & 干预措施

Prediabetes and Diabetes

Participants with prediabetes and diabetes

结局指标

主要结局

Assessment of retinal changes

时间窗: Day 1

Assessment of retinal changes in individuals with prediabetes and diabetes, quantified using an AI algorithm.

次要结局

  • Image quality and comparison of the fundus cameras(Day 1)
  • Influence of clinical parameters on retinal vascular changes(Day 1)
  • Association of medications with the ocular fundus(Day 1)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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