Effectiveness of Artificial Intelligent Based mHealth System to Reduce ACS Patients Bleeding Events After PCI
NCT ID: NCT03738930
Last Updated: 2018-11-13
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
NA
420 participants
INTERVENTIONAL
2018-11-10
2020-01-01
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
The Benefits of Wearable AI in Post-Discharge Management of AMI Patients
NCT07288229
Wearable Devices Empowering Active Health Initiatives for High-Risk Stroke Populations
NCT06935513
Artificial Intelligence-assisted Evaluation of Pulmonary HYpertension
NCT05566002
Application of Intelligent Care Systems in Radiation Therapy: Enhancing Patient Safety and Reducing Anxiety Through System Optimization and Real-Time Blood Data Monitoring
NCT06833801
COVID-19 Surveillance Based on Smart Wearable Device
NCT04459637
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
normal follow-up group
normal follow-up in ACS patients after PCI
No interventions assigned to this group
AI based mHealth system follow-up group
AI based mHealth system follow-up in ACS patients after PCI. ACS patients in this group will receive message to take more notice to bleeding events.
AI based mHealth system
AI based mHealth system is used to deliver self-management contral message and health education message to make patients take notice of bleeding events after PCI.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
AI based mHealth system
AI based mHealth system is used to deliver self-management contral message and health education message to make patients take notice of bleeding events after PCI.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Chinese PLA General Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Yun Dai Chen
Professor
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Yundai Chen, Master
Role: PRINCIPAL_INVESTIGATOR
The General Hospital of PLA
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
The General Hospital of PLA
Beijing, Beijing Municipality, China
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Yundai Chen, Master
Role: CONTACT
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
AI-mHealth-pilot
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.