Clinical trial Recruiting at 1 site Observational Ages 20 to 100

AI model predicts outcomes for dialysis patients

Official title: Predicting Clinical Outcomes in Dialysis Patients Using Electronic Health Records: An AI-Based Approach

Run by The Eye Hospital of Wenzhou Medical University · NCT06791447 · Data updated 2026-11-12

This study is testing if an AI tool can help doctors predict health outcomes for dialysis patients, like their risk of dying or developing anemia, to provide better care.

Quick facts

Study typeObservational
Ages20 Years to 100 Years
SexAll
Enrollment1000000 (estimated)
SponsorThe Eye Hospital of Wenzhou Medical University
Academic / other
Locations1 site (Beijing, Beijing Municipality)
StatusRecruiting
StartedJanuary 1, 2023
Main results expectedMay 2025
Study endsMay 1, 2025
Registry record updatedApril 17, 2025
Trial IDNCT06791447 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are patients who have been undergoing dialysis for at least 3 months and have complete EHR data.

Probably not a fit

Patients with incomplete EHR data or those who have been on dialysis for less than 3 months may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study evaluates the effectiveness of an AI-assisted predictive model designed to forecast clinical outcomes in dialysis patients. By analyzing multimodal health data from electronic health records (EHR), the study focuses on predicting both primary outcomes, such as mortality, and intermediate outcomes like anemia and blood pressure. The aim is to enhance early identification of at-risk patients, thereby facilitating improved clinical decision-making and personalized care strategies. The study will involve multiple centers to gather a diverse patient population and robust data.

Why it matters

Potential benefit: If successful, this approach could lead to better management and outcomes for dialysis patients through early identification of risks.

How similar studies have gone: Other studies utilizing AI for predictive modeling in healthcare have shown promising results, indicating potential success for this approach.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Patients who have been undergoing dialysis (either hemodialysis or peritoneal dialysis) for at least 3 months.
2. Complete and accessible EHR data, including medical history, laboratory test results, dialysis treatment details, and clinical observations.
3. Participants must provide informed consent for the use of their health data for research purposes.

Exclusion Criteria:

1. Patients with incomplete or missing critical EHR data, including medical history, laboratory results, dialysis data, or treatment details necessary for the study.
2. Patients who have been on dialysis for less than 3 months, to ensure stable data for outcome prediction.

Where it's running

  • General Hospital of PLA
    Beijing, Beijing Municipality, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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    Recruiting Arbor Research Collaborative for Health · Paris · NCT07561424

  • Exercise during dialysis with blood flow restriction versus regular dialysis exercise

    This test will try whether doing exercise during hemodialysis with a blood flow restriction band protects the heart more than regular intradialytic exercise or no exercise for people on dialysis.

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  • Outpatient recovery after acute kidney injury that required dialysis

    This pilot will test whether measuring residual kidney function at hospital discharge and sharing that information with patients and their outpatient nephrologists, plus guidance on monitoring and considering twice-weekly dialysis, helps adults who had acute kidney injury and still need dialysis after leaving the hospi

    Recruiting University of California, San Francisco · San Francisco, California · NCT07106151

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.