AI-Assisted Echocardiogram for Heart Ultrasound Software
(AI INSIGHT Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores how artificial intelligence (AI) can help doctors read heart ultrasound images more efficiently and consistently. It compares three methods of interpreting these images: AI-Assisted Echocardiogram Interpretation, a sonographer (a trained technician), and a cardiologist alone. The goal is to determine if AI can match the accuracy of current methods while saving time. The trial seeks adults who have undergone a standard heart ultrasound at a KPNC Medical Center. As an unphased trial, it offers patients the chance to contribute to innovative research that could enhance future heart ultrasound diagnostics.
Do I need to stop my current medications for the trial?
The trial information does not specify whether you need to stop taking your current medications. It's best to consult with the trial coordinators for specific guidance.
What prior data suggests that this AI-assisted echocardiogram interpretation is safe?
Research has shown that using AI to help interpret heart ultrasounds is generally safe and well-tolerated. In past studies, AI quickly and accurately analyzed heart images. For instance, one study found that AI's interpretations matched the accuracy of those by trained technicians. Another study demonstrated that AI could interpret these images in just minutes without losing accuracy.
These studies did not identify any safety issues for patients. Since the AI tool is neither a drug nor a medical procedure, it lacks the side effects that medications might have. It provides an initial analysis, which a heart doctor then reviews to ensure the final interpretation is accurate and reliable.
In short, current evidence suggests that AI-assisted heart ultrasound interpretation is safe. The AI helps doctors work more efficiently without affecting the quality of care.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it explores the potential of AI in interpreting echocardiograms, a crucial tool for diagnosing heart conditions. Unlike traditional methods where sonographers or cardiologists provide preliminary interpretations, this AI-assisted approach offers a new layer of efficiency by delivering quick and potentially more consistent initial readings. The AI's ability to analyze patterns and anomalies rapidly could enhance diagnostic accuracy and save valuable time, which is especially important in urgent cardiac care. This trial aims to find out if AI can match or even exceed human performance in preliminary interpretations, potentially revolutionizing how we conduct heart ultrasounds.
What evidence suggests that AI-assisted echocardiogram interpretation is effective for improving cardiologist efficiency and accuracy?
Research has shown that AI-assisted interpretation of heart ultrasounds can match the accuracy of traditional methods used by cardiologists and technicians. In this trial, participants will be assigned to different arms to compare these methods. One arm will use AI-Assisted Interpretation, where the AI tool provides a preliminary interpretation that a blinded cardiologist finalizes. One study found that the AI tool can interpret these scans in minutes, potentially speeding up the process and reducing the time doctors need to review results. Another study demonstrated that AI increases efficiency without sacrificing accuracy. These findings suggest that AI can maintain the quality of heart ultrasound readings while making the process faster and more consistent. The AI tool's ability to provide detailed reports supports its potential to enhance the reliability of heart health assessments.26789
Who Is on the Research Team?
David Ouyang
Principal Investigator
Kaiser Permanente
Keane K Lee
Principal Investigator
Kaiser Permanente
Are You a Good Fit for This Trial?
This trial is for adult patients with historical echocardiogram images. Specific eligibility criteria are not provided, but typically participants would have no contraindications to an echocardiogram and be able to give informed consent.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants undergo AI-assisted, sonographer-assisted, or cardiologist-only TTE interpretation workflows
Follow-up
Participants are monitored for accuracy, efficiency, and interpretation consistency after treatment
What Are the Treatments Tested in This Trial?
Interventions
- AI-Assisted Echocardiogram Interpretation
Trial Overview
The study compares three ways of interpreting heart ultrasound tests: by cardiologists alone, with sonographer assistance, or with AI assistance. It aims to see if AI can match the accuracy of standard methods while improving efficiency and consistency in reading these tests.
How Is the Trial Designed?
3
Treatment groups
Active Control
In AI-prelim arm, AI provides the preliminary interpretation which is finalized by a blinded cardiologist.
In Sonographer-prelim arm, sonographer provides the preliminary interpretation which is finalized by a blinded cardiologist.
In cardiologist-prelim arm, cardiology provides the preliminary interpretation which is finalized by a blinded separate cardiologist.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Kaiser Permanente
Lead Sponsor
Citations
AI in Echocardiography: State-of-the-art Automated ...
Echo AI Report―AI generates comprehensive echocardiographic reports based on automated measurements and analyses. AI Diagnosis―AI assists in ...
AI Tool Interprets Echocardiograms in Minutes, New Yale ...
A new study in JAMA led by Yale School of Medicine researchers finds that an artificial intelligence (AI)-enabled tool can interpret ...
Artificial Intelligence-based Automated Echocardiographic ...
Conclusions This real-world randomized trial demonstrated that AI-based echocardiographic analysis can enhance workflow efficiency, reduce ...
AI assisted focused cardiac ultrasound in preventive ...
An accelerated heart aging trajectory was observed in ~15% of patients and was associated with a significant elevation in the primary endpoint ...
NCT03936413 | Artificial Intelligence in Echocardiography
Using ultrasound, this technique allows for non-invasive assessment of cardiac function, including systolic function, diastolic function, heart chamber ...
Artificial Intelligence in Echocardiography: The Time is Now
AI has firmly made its stamp on echocardiography, showing great promise in training, image acquisition, interpretation and analysis, diagnostics, ...
AI ECHO INSIGHT RCT for Automated Echo Reporting
The goal of this blinded randomized controlled trial is to assess whether AI-assisted TTE interpretation can improve cardiologist efficiency ...
Blinded, randomized trial of sonographer versus AI cardiac ...
For patients undergoing echocardiographic quantification of cardiac function, initial assessment of LVEF by AI was non-inferior to assessment by sonographers.
Complete AI-Enabled Echocardiography Interpretation ...
This study evaluates the accuracy of an artificial intelligence (AI) system on a comprehensive set of 39 echocardiographic labels and ...
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