AI-ACLD Study: Artificial Intelligence in Advanced Chronic Liver Disease
Switzerland8 participantsStarted 2022-12-29
Plain-language summary
The research project studies the possibility of using an artificial intelligence-based system in patients with advanced chronic liver disease (liver cirrhosis) to record variations in a patient's health status, with the aim of early identification of clinical improvement or deterioration. The system is based on the collection and processing of various clinical parameters through an Apple Watch. The study aims to evaluate whether the data generated by this system correlate with patients' clinical evolution and whether its use may ultimately contribute to improved care management and quality of life.
Who can participate
Age range
18 Years – 75 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Adults aged 18-75 years
* Diagnosis of advanced chronic liver disease (ACLD).
* Either:
* hospitalized for hepatic decompensation or acute-on-chronic liver failure (ACLF), including ascites, hepatorenal syndrome, hepatic encephalopathy, bacterial infection, gastrointestinal bleeding, or jaundice; or
* outpatient with Child-Pugh B cirrhosis and no evidence of hepatic decompensation or ACLF at enrolment.
* Willing and able to provide written informed consent.
Exclusion Criteria:
* Inability or refusal to provide written informed consent
* Inability to wear or correctly use the Apple Watch
* Patients with hepatocellular carcinoma beyond the Milan Criteria (one lesion up to 5 cm or 3 lesions up to 3 cm in diameter)
* Presence of hepatic decompensation or ACLF
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Feasibility and accuracy of machine learning analysis of individual health data collected by wearable device.
Timeframe: From enrollment to the end of the study (6 months)