A Large Language Model-based Chatbot for Alcohol Reduction Counseling in MetALD Patients: A Pilot Randomized Controlled Trial
A Large Language Model-based Chatbot for Alcohol Reduction Counseling in MetALD Patients: A Pilot Randomized Controlled Trial
The goal of this pilot randomized controlled trial is to evaluate the trial feasibility and acceptability of LLM-based chatbot for reducing alcohol use among patients with metabolic alcohol-related liver disease. Specific objectives include:
Inclusion Criteria:
1. Hong Kong residents aged 18 years or above 2. Diagnosed of MASLD:
Evidence of hepatic steatosis (fat accumulation in the liver) confirmed by imaging techniques such as ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), or liver biopsy
Presence of metabolic dysfunction, indicated by at least one of the following:
Overweight or obesity (body mass index [BMI] ≥25 kg/m²),
Type 2 diabetes mellitus, ③Dyslipidemia (elevated triglycerides [≥150 mg/dL] or low high-density lipoprotein [HDL] cholesterol [<40 mg/dL for men, <50 mg/dL for women]), ④Hypertension (blood pressure ≥130/85 mmHg or use of antihypertensive medication).
Exclusion Criteria: