Clinical Research Directory

AI-Assisted Mindfulness Intervention in Emotional Distress

The goal of this clinical trial is to learn whether an artificial intelligence-assisted internet-based mindfulness intervention for emotional distress (iMIED) can prevent or reduce anxiety and depressive symptoms in adults with subclinical emotional distress. The main questions it aims to answer are: Can iMIED reduce anxiety symptoms, as measured by the Generalized Anxiety Disorder-7 (GAD-7)? Can iMIED reduce depressive symptoms, as measured by the Patient Health Questionnaire-9 (PHQ-9)? Researchers will compare participants receiving iMIED plus access to usual mental health resources with participants receiving usual mental health resources alone to see whether iMIED leads to greater improvement in emotional distress over time. Participants will: complete online screening and baseline assessments; be randomly assigned to either the iMIED intervention group or the control group; if assigned to the intervention group, complete a 49-day AI-assisted online mindfulness self-help program using a WeChat mini-program and AI support tool; complete follow-up online questionnaires during the intervention and at 3, 6, 12, 18, and 24 months after the intervention; report information on mental health symptoms, quality of life, healthcare use, sleep, stress, resilience, and life satisfaction.

SUBDIMA: Subclinical Depression in Acute Myocardial Infarction (SUBDIMA25)

This is an exploratory, prospective, non-profit study (SUBDIMA) designed to investigate the prevalence and potential prognostic significance of subclinical depression in patients admitted with a first acute myocardial infarction (AMI). Subclinical depression refers to the presence of mild depressive symptoms (PHQ-9 score 5-9) that do not meet DSM-5 TR criteria for major depressive disorder but may still be clinically relevant. The primary aim is to estimate the prevalence of subclinical depression in this setting. Secondary, exploratory objectives include evaluating associations with inflammatory and metabolic biomarkers, autonomic dysfunction, cardiac function, cognitive performance, quality of life, treatment adherence, and the risk of recurrent cardiovascular events over 12 months. The study is expected to generate new descriptive data that may inform future confirmatory trials and support early, personalized approaches to integrated cardiac and mental health care.