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Blinded, randomized trial of sonographer versus AI cardiac function assessment

Author

Listed:
  • Bryan He

    (Stanford University)

  • Alan C. Kwan

    (Cedars-Sinai Medical Center)

  • Jae Hyung Cho

    (Cedars-Sinai Medical Center)

  • Neal Yuan

    (San Francisco VA, UCSF)

  • Charles Pollick

    (Cedars-Sinai Medical Center)

  • Takahiro Shiota

    (Cedars-Sinai Medical Center)

  • Joseph Ebinger

    (Cedars-Sinai Medical Center)

  • Natalie A. Bello

    (Cedars-Sinai Medical Center)

  • Janet Wei

    (Cedars-Sinai Medical Center)

  • Kiranbir Josan

    (Cedars-Sinai Medical Center)

  • Grant Duffy

    (Cedars-Sinai Medical Center)

  • Melvin Jujjavarapu

    (Cedars-Sinai Medical Center)

  • Robert Siegel

    (Cedars-Sinai Medical Center)

  • Susan Cheng

    (Cedars-Sinai Medical Center)

  • James Y. Zou

    (Stanford University
    Stanford University)

  • David Ouyang

    (Cedars-Sinai Medical Center
    Cedars-Sinai Medical Center)

Abstract

Artificial intelligence (AI) has been developed for echocardiography1–3, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no outside funding) of AI versus sonographer initial assessment of left ventricular ejection fraction (LVEF) to evaluate the impact of AI in the interpretation workflow. The primary end point was the change in the LVEF between initial AI or sonographer assessment and final cardiologist assessment, evaluated by the proportion of studies with substantial change (more than 5% change). From 3,769 echocardiographic studies screened, 274 studies were excluded owing to poor image quality. The proportion of studies substantially changed was 16.8% in the AI group and 27.2% in the sonographer group (difference of −10.4%, 95% confidence interval: −13.2% to −7.7%, P

Suggested Citation

  • Bryan He & Alan C. Kwan & Jae Hyung Cho & Neal Yuan & Charles Pollick & Takahiro Shiota & Joseph Ebinger & Natalie A. Bello & Janet Wei & Kiranbir Josan & Grant Duffy & Melvin Jujjavarapu & Robert Sie, 2023. "Blinded, randomized trial of sonographer versus AI cardiac function assessment," Nature, Nature, vol. 616(7957), pages 520-524, April.
    • Handle: RePEc:nat:nature:v:616:y:2023:i:7957:d:10.1038_s41586-023-05947-3
    DOI: 10.1038/s41586-023-05947-3
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    Cited by:

    1. Martin Obschonka & Moren Levesque, 2024. "A Market for Lemons? Strategic Directions for a Vigilant Application of Artificial Intelligence in Entrepreneurship Research," Papers 2409.08890, arXiv.org.
    2. Jun Ma & Yuting He & Feifei Li & Lin Han & Chenyu You & Bo Wang, 2024. "Segment anything in medical images," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

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