Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 1,000
- 试验地点
- 2
研究概览
简要总结
The AITX study is an international, multicenter survey exploring how kidney transplant recipients perceive artificial intelligence (AI) in medicine and, specifically, a system that predicts graft loss risk. Through an open-ended online questionnaire distributed across transplant centers and patient associations in France and the United States, the study captures patients' expectations, concerns, and the perceived impact of AI-driven prediction on their daily lives. Responses are analyzed using large language models (LLMs) with systematic human verification. The study aims to ensure that the deployment of AI in transplantation is ethical, transparent, and patient-centered.
详细描述
# Study Summary
## Background
Kidney transplantation is currently the gold standard treatment for end-stage renal disease, with over 170,000 transplants performed each year worldwide. Despite major advances in short-term survival, long-term graft survival remains limited: approximately 40% of patients return to dialysis within 10 to 15 years following transplantation.
In recent years, artificial intelligence (AI) has emerged as a promising tool for predicting graft outcomes and supporting clinical decision-making. The iBox system, developed by the Paris Institute for Transplantation and Organ Regeneration, calculates a personalized probability of graft loss up to ten years after evaluation of the kidney transplant recipient.
This algorithm has been validated internationally across multiple cohorts and clinical trials, outperforms clinicians in predicting risk, and was qualified by the European Medicines Agency as an endpoint for clinical trials in 2022.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Inclusion criteria
- •Age ≥ 18 years
- •Fluency in French or English
- •Electronic consent given
排除标准
- •Severe cognitive impairment preventing comprehension
- •Technical inability to access the questionnaire
研究者
Marc Raynaud
Scientific leader
Paris Translational Research Center for Organ Transplantation