Education, MedicalNCT05900440
Artificial Intelligence for Learning Point-of-Care Ultrasound
A study testing Ultrasound with Artificial Inteligence Engabled and Ultrasound without Artificial Intelligence Enabled in people with Education, Medical and Ultrasound Imaging, run by Stanford University at 1 site in United States.
Trial summary
Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Education, Medical, Ultrasound Imaging
- What is being tested?
- Ultrasound with Artificial Inteligence Engabled and Ultrasound without Artificial Intelligence Enabled
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 150 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Jun 2021to 30 Dec 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 Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Internal medicine residents rotating on the general inpatient wards service.
Who cannot join
- Residents who had taken an ultrasound elective offered by our residency program
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
Stanford University School of Medicine
Stanford, California, 95403
About this study
Official title: Use of Artificial Intelligence for Acquisition of Limited Echocardiograms
Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. This includes the use of point-of-care ultrasound by trainees, who are now utilizing this technology as part of their diagnostic assessments of patients. However, there are few studies that examine how efficiently trainees can learn point-of-care ultrasound and which training methods are more effective. The primary objective of this study is to assess whether artificial intelligence systems improve internal medicine interns' knowledge and image interpretation skills with point-of-care ultrasound. Participants shall be randomized to receive personal access to handheld ultrasound devices to be used for learning with artificial intelligence vs devices with no artificial intelligence. The primary outcome will assess their interpretive ability with ultrasound images/videos. Secondary outcomes will include rates of device usage and performance on quizzes.
- Conditions
- Education, Medical, Ultrasound Imaging
- Being tested
- Ultrasound with Artificial Inteligence Engabled, Ultrasound without Artificial Intelligence Enabled
- Keywords
- Medical Education, Point-of-Care Ultrasound
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Ultrasound with Artificial Inteligence EngabledOther
Participants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received.
Ultrasound without Artificial Intelligence EnabledOther
Participants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received.
| Study group | Role | What they receive |
|---|---|---|
| Artificial Intelligence Group | Experimental | Not described Receives: Other: Ultrasound with Artificial Inteligence Engabled |
| Non Artificial Intelligence Group | Active comparator | Not described Receives: Other: Ultrasound without Artificial Intelligence Enabled |
What is being measured
The primary outcome is the main question the study is designed to answer.
Time to acquire cardiac ultrasound images
This will be measured as the time to acquire a cardiac ultrasound image on a standardized patient, measured in seconds.
Measured: During procedure (300 seconds)
Secondary outcomes (1)
Assessment of the quality of captured images
Participants will acquire cardiac ultrasound images on a standardized patient. Two reviewers will review the images and provide a numerical assessment of image quality based on the Rapid Assessment for Competency in Echocardiography (RACE) Scale. This is a 0-20 point scale, with higher scores denoting higher image quality (e.g. a better quality image).
Measured: During procedure (300 seconds)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Jun 2023
- Study start1 Jun 2021
- Primary completion30 Dec 2026 (estimated)
- Study completion30 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Education, MedicalStudies of the same condition, open and under way.
- More trials run by Stanford UniversityThe sponsor's other registered studies.
- 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
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Investigator
- Enrolment
- 150 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Stanford University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Andre Kumar, Stanford University
- Investigators
- Andre D Kumar, MD, Principal investigator, Stanford University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05900440
- Sponsor's protocol ID
- IRB-42094
- Status last verified
- Apr 2025
- First submitted
- 31 May 2023
- Last updated
- 29 Apr 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Kumar A, Weng Y, Wang L, Bentley J, Almli M, Hom J, Witteles R, Ahuja N, Kugler J. Portable Ultrasound Device Usage and Learning Outcomes Among Internal Medicine Trainees: A Parallel-Group Randomized Trial. J Hosp Med. 2020 Feb 11;15(2):e1-e6. doi: 10.12788/jhm.3351. Online ahead of print.
PubMed 32118565
Study at a glance
From the registry record, last updated by the sponsor on 29 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Artificial Intelligence for Acquisition of Limited Echocardiograms
- ClinicalTrials.gov ID
- NCT05900440
- Acronym / sponsor ID
- IRB-42094
- Conditions
- Education, Medical, Ultrasound Imaging
- Keywords
- Medical Education, Point-of-Care Ultrasound
- Study type
- Interventional
- Recruitment status
- Enrolling by invitation
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- Stanford UniversityUniversity, hospital or other
- Study start
- 1 Jun 2021 (actual)
- Primary completion
- 30 Dec 2026 (estimated)
- Study completion
- 30 Dec 2027 (estimated)
- First posted
- 12 Jun 2023 (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.
Point-of care-ultrasonography has the potential to transform healthcare delivery through its diagnostic and therapeutic utility. Its use has become more widespread across a variety of clinical settings as more investigations have demonstrated its impact on patient care. This includes the use of point-of-care ultrasound by trainees, who are now utilizing this technology as part of their diagnostic assessments of patients. However, there are few studies that examine how efficiently trainees can learn point-of-care ultrasound and which training methods are more effective. The primary objective of this study is to assess whether artificial intelligence systems improve internal medicine interns' knowledge and image interpretation skills with point-of-care ultrasound. Participants shall be randomized to receive personal access to handheld ultrasound devices to be used for learning with artificial intelligence vs devices with no artificial intelligence. The primary outcome will assess their interpretive ability with ultrasound images/videos. Secondary outcomes will include rates of device usage and performance on quizzes.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (investigator)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Artificial Intelligence Group | Experimental | Other: Ultrasound with Artificial Inteligence Engabled |
| Non Artificial Intelligence Group | Active comparator | Other: Ultrasound without Artificial Intelligence Enabled |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- Internal medicine residents rotating on the general inpatient wards service.
Key exclusion criteria (1 listed)
- Residents who had taken an ultrasound elective offered by our residency program
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 |
|---|---|---|
| Ultrasound with Artificial Inteligence EngabledParticipants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received. | Other | Artificial Intelligence Group |
| Ultrasound without Artificial Intelligence EnabledParticipants shall be randomized 1:1 to receive personal access to a handheld ultrasound device with artificial intelligence vs a device with no artificial intelligence. The groups shall not cross over in which intervention they received. | Other | Non Artificial Intelligence Group |
Primary outcome
Time to acquire cardiac ultrasound images
Time frame: During procedure (300 seconds)
This will be measured as the time to acquire a cardiac ultrasound image on a standardized patient, measured in seconds.
1 secondary outcome
Assessment of the quality of captured images
Time frame: During procedure (300 seconds)
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 29 Apr 2026.
- Background: PubMed 32118565Kumar A, Weng Y, Wang L, Bentley J, Almli M, Hom J, Witteles R, Ahuja N, Kugler J. Portable Ultrasound Device Usage and Learning Outcomes Among Internal Medicine Trainees: A Parallel-Group Randomized Trial. J Hosp Med. 2020 Feb 11;15(2):e1-e6. doi: 10.12788/jhm.3351. Online ahead of print.
- 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.
Andre D Kumar, MD principal investigator
Stanford 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 Ultrasound with Artificial Inteligence Engabled and Ultrasound without Artificial Intelligence Enabled in people with Education, Medical and Ultrasound Imaging, run by Stanford University at 1 site in United States.
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 1 inclusion and 1 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: enrolling by invitation, as of the sponsor's last update on 29 Apr 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 United States. 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?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Time to acquire cardiac ultrasound images (time frame: During procedure (300 seconds)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05900440, which also lists 1 linked publication.
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 29 Apr 2026.