Active, not recruitingNo phase
AI-SC Multi-center Study
Key facts
- Who runs it
- University Health Network, Toronto
- Where
- Canada1 site in 1 countryChoose a country to see its sites
- Trial code
- Status
- Active, not recruiting
- People taking part
- 1,000 people, planned
- Started
- 1 Apr 2026
- Expected to end
- 31 Dec 2027
- Type of study
- Observational, 2 groups
- Treatments tested
- evaluate the alignment between AI-SC recommendations and LT-SC decisions
- Multi AI-SC model
- Record updated
- 26 October 2026
Who can take part
- Age
- 18 years to 70 years
- Sex
- Women and men
- Healthy volunteers
- Cannot take part
The registry criteria, word for word
Show all 2 criteriaShow less
Who can take part
- patient more or equal to 18 years of age with liver cirrhosis on assessment for liver transplant
Who cannot take part
- multi-organ transplant
This trial has no sites in United States.
It has sites in one country. Choose a country to see its sites.
About the trial
What the trial wants to find out
To examined the opportunity for Artificial Intelligence (AI) agents to evaluate transplant candidacy objectively at LT-SC, with a large language models (LLM) representing the expertise of each individual specialist (hepatologist, surgeon, anesthesiologist, psychiatrist and social worker) and coming up with a group consensus decision upon inter-agent communication using prompts GPT-4 in OpenAI (private version).
The 2 groups in the trial
- AI-SC
AI - Selection Committee
Treatment: evaluate the alignment between AI-SC recommendations and LT-SC decisions and Multi AI-SC model
- Human Liver transplant (LT)-SC
Human Liver Transplant Selection Committee
Data and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- Evaluation of a Multi-Agent AI Selection Committee for Objective Assessment of Liver Transplant Candidacy
- Record updated
- 26 October 2026