Artificial Intelligence-aimed Point-of-care Ultrasound Image Interpretation System
NCT ID: NCT04876157
Last Updated: 2025-09-19
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.
RECRUITING
NA
300 participants
INTERVENTIONAL
2020-08-01
2026-12-31
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 Development of Quantitative Ultrasound Imaging Software Platform
NCT05836246
Intelligent Segmentation Algorithm of Ultrasonic Image
NCT06646679
To Evaluate the Capability of an EUS Automatic Image Reporting System
NCT05858827
Research on the Application of Artificial Intelligence Ultrasonic Recognition Technology in Difficult Airway Assessment
NCT05207254
Comparing an Inexpensive Handheld Ultrasound Machine and a Large Mobile Ultrasound System
NCT03764111
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
This pioneer study can provide two AI-assisted ultrasound image recognition systems in the real clinical conditions. They can experience of clinical applications and contribute to current medical education. Moreover, it can improve decision-making process and quality of care in the emergency and critical care units. Furthermore, the set-up models can be used in other target ultrasound image recognition in the future.
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.
NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Artificial intelligence-aimed ultrasound image interpretation
Artificial intelligence-aimed point-of-care ultrasound image interpretation system
improve the sensitivity and specificity of the AI-aimed ultrasound interpretation system
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Artificial intelligence-aimed point-of-care ultrasound image interpretation system
improve the sensitivity and specificity of the AI-aimed ultrasound interpretation system
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Exclusion Criteria
20 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Taiwan University Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Wan-Ching Lien
Role: PRINCIPAL_INVESTIGATOR
National Taiwan University Hospital
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Wan-Ching Lien
Taipei, None Selected, Taiwan
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.
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.
202006124RINC
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.