Artificial Intelligence for Learning Point-of-Care Ultrasound

Education, Medical Clinical Trial

Official title:

Use of Artificial Intelligence for Acquisition of Limited Echocardiograms

Clinical Trial Details — Status: Enrolling by invitation

Administrative data

• NCT number: NCT05900440
• Other study ID #: IRB-42094
• Status: Enrolling by invitation
• Phase: N/A
• Start date: June 1, 2021
• Est. completion date: June 30, 2026

Study information

• Verified date: April 2024
• Source: Stanford University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical 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. 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.

Recruitment information / eligibility

• Status: Enrolling by invitation
• Enrollment: 150
• Est. completion date: June 30, 2026
• Est. primary completion date: May 30, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• Internal medicine residents rotating on the general inpatient wards service.

Exclusion Criteria:

• Residents who had taken an ultrasound elective offered by our residency program

Related Conditions & MeSH terms

• Education, Medical
• Ultrasound Imaging

Intervention

Other:
• Ultrasound with Artificial Inteligence Engabled
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 Enabled
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.

Locations

Country	Name	City	State
United States	Stanford University School of Medicine	Stanford	California

Sponsors (1)

Lead Sponsor	Collaborator
Stanford University

Country where clinical trial is conducted

United States, 

References & Publications (1)

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. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.	During procedure (300 seconds)
Secondary	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).	During procedure (300 seconds)