Respiratory Therapy TechniquesNCT07805499
AI-Powered Virtual Human Simulation in Students
A study testing AI-based virtual human simulation training in people with Respiratory Therapy Techniques and Artificial Intelligence in Education, run by Fu Jen Catholic University at 1 site in Taiwan.
Trial summary
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning motivation, clinical confidence, learning satisfaction, and critical thinking disposition. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Respiratory Therapy Techniques, Artificial Intelligence in Education, Clinical Education
- What is being tested?
- AI-based virtual human simulation training
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 40 participants
- Where
- 1 siteTaiwan
- Study dates
- 1 Sep 2026to 31 Jul 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Respiratory therapy students participating in the pre-clinical training course, "Clinical Application of Critical Care Respiratory Therapy," at Fu Jen Catholic University Hospital between September 10 and October 10, 2026
- Able to communicate verbally in Mandarin and complete study-related questionnaires and interviews
- Considered suitable by the course instructor to participate in the AI-based virtual human simulation training
- Willing to participate
Who cannot join
- Students considered unsuitable by the course instructor to participate in the AI-based virtual human simulation training
- Individuals who are unable to communicate effectively in Mandarin, complete the study training, or complete study questionnaires due to language, cognitive, or other factors
- Individuals who are unwilling to participate in the study
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Taiwan1 site
Fu Jen Catholic University Hospital, Fu Jen Catholic University
New Taipei City, 24352
Ke-Yun Chao, PhD, +886-905-301-879, C00152@mail.fjuh.fju.edu.tw
About this study
Official title: Evaluation of an AI-Assisted Learning Approach for Enhancing Clinical Knowledge in Respiratory Therapy Students
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning motivation, clinical confidence, learning satisfaction, and critical thinking disposition.
Read the detailed description
Critical care requires timely patient assessment, clinical judgment, and appropriate intervention, yet respiratory therapy students may have limited opportunities to experience complex clinical situations before entering clinical training. Traditional teaching methods are often based on lectures, case discussions, and demonstrations, and may be limited by available facilities, equipment, and clinical cases. AI-based virtual human simulation provides a safe and repeatable environment in which students can practice clinical decision-making and receive immediate feedback. This study will recruit eligible respiratory therapy students who voluntarily participate in AI-based critical care simulation training and will compare pre- and post-training assessments of learning outcomes, self-efficacy, and learning experience. The training is expected to improve students' critical care knowledge, clinical reasoning, confidence, and learning engagement, and the findings may provide a reference for future pre-clinical training and AI-assisted respiratory therapy education.
- Being tested
- AI-based virtual human simulation training
- Keywords
- Respiratory therapy, AI-based virtual human simulation training, Clinical education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-based virtual human simulation trainingOther
present simulated critical care scenarios
| Study group | Role | What they receive |
|---|---|---|
| AI-based simulation group | Experimental | Receive AI-based virtual human simulation training Receives: Other: AI-based virtual human simulation training |
What is being measured
The primary outcome is the main question the study is designed to answer.
Examination score of pre-intervention
score of pre-intervention (maximun 100 and minimum 0), higher means a better outcome
Measured: pre-intervention
Examination score of post-intervention
score of post-intervention (maximun 100 and minimum 0), higher means a better outcome
Measured: immediately after the intervention
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Sep 2026
- Study start1 Sep 2026 (estimated)
- Primary completion31 Jul 2027 (estimated)
- Study completion31 Jul 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Respiratory Therapy TechniquesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 40 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Fu Jen Catholic University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ke-Yun, Chao, Fu Jen Catholic University
- Investigators
- Ke-Yun Chao, PhD, Principal investigator, Fu Jen Catholic University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07805499
- Sponsor's protocol ID
- FJUH115675
- Status last verified
- Aug 2026
- First submitted
- 1 Sep 2026
- Last updated
- 4 Sep 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 4 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of an AI-Assisted Learning Approach for Enhancing Clinical Knowledge in Respiratory Therapy Students
- ClinicalTrials.gov ID
- NCT07805499
- Acronym / sponsor ID
- FJUH115675
- Keywords
- Respiratory therapy, AI-based virtual human simulation training, Clinical education
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 40 participants (estimated)
- Lead sponsor
- Fu Jen Catholic UniversityUniversity, hospital or other
- Study start
- 1 Sep 2026 (estimated)
- Primary completion
- 31 Jul 2027 (estimated)
- Study completion
- 31 Jul 2027 (estimated)
- First posted
- 4 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning motivation, clinical confidence, learning satisfaction, and critical thinking disposition.
Detailed description
Critical care requires timely patient assessment, clinical judgment, and appropriate intervention, yet respiratory therapy students may have limited opportunities to experience complex clinical situations before entering clinical training. Traditional teaching methods are often based on lectures, case discussions, and demonstrations, and may be limited by available facilities, equipment, and clinical cases. AI-based virtual human simulation provides a safe and repeatable environment in which students can practice clinical decision-making and receive immediate feedback. This study will recruit eligible respiratory therapy students who voluntarily participate in AI-based critical care simulation training and will compare pre- and post-training assessments of learning outcomes, self-efficacy, and learning experience. The training is expected to improve students' critical care knowledge, clinical reasoning, confidence, and learning engagement, and the findings may provide a reference for future pre-clinical training and AI-assisted respiratory therapy education.
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| AI-based simulation group | Experimental | Other: AI-based virtual human simulation trainingReceive AI-based virtual human simulation training |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Respiratory therapy students participating in the pre-clinical training course, "Clinical Application of Critical Care Respiratory Therapy," at Fu Jen Catholic University Hospital between September 10 and October 10, 2026
- Able to communicate verbally in Mandarin and complete study-related questionnaires and interviews
- Considered suitable by the course instructor to participate in the AI-based virtual human simulation training
- Willing to participate
Key exclusion criteria (3 listed)
- Students considered unsuitable by the course instructor to participate in the AI-based virtual human simulation training
- Individuals who are unable to communicate effectively in Mandarin, complete the study training, or complete study questionnaires due to language, cognitive, or other factors
- Individuals who are unwilling to participate in the study
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-based virtual human simulation trainingpresent simulated critical care scenarios | Other | AI-based simulation group |
Primary outcome
Examination score of pre-intervention
Time frame: pre-intervention
score of pre-intervention (maximun 100 and minimum 0), higher means a better outcome
Examination score of post-intervention
Time frame: immediately after the intervention
score of post-intervention (maximun 100 and minimum 0), higher means a better outcome
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Sep 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Ke-Yun Chao, PhD principal investigator
Fu Jen Catholic University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-based virtual human simulation training in people with Respiratory Therapy Techniques and Artificial Intelligence in Education, run by Fu Jen Catholic University at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 4 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Ke-Yun Chao, PhD (+886-905-301-879, C00152@mail.fjuh.fju.edu.tw), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Examination score of pre-intervention (time frame: pre-intervention). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Sep 2026.