Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
88 participants
INTERVENTIONAL
2020-09-29
2021-06-30
Brief Summary
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Detailed Description
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In one of the study arms the sonographer randomized to perform the second exam will use the AI algorithm (intervention).
Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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With AI algorithm
In the "With AI algorithm" arm, the sonographer will perform the echocardiographic exam using the AI algorithm.
AI algorithm for apical foreshortening in echocardiography
The algorithm is based on artificial intelligence, giving the sonographer performing the echocardiographic exam real-time feedback on left ventricular apical foreshortening.The algorithm is developed using deep learning techniques by technologists at the Department of Circulation and Medical Imaging, NTNU.
Without AI algorithm
In the "Without AI algorithm", the echocardiographic exam will be performed without the use of the AI algorithm.
No interventions assigned to this group
Interventions
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AI algorithm for apical foreshortening in echocardiography
The algorithm is based on artificial intelligence, giving the sonographer performing the echocardiographic exam real-time feedback on left ventricular apical foreshortening.The algorithm is developed using deep learning techniques by technologists at the Department of Circulation and Medical Imaging, NTNU.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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St. Olavs Hospital
OTHER
Helse Nord-Trøndelag HF
OTHER
Responsible Party
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Locations
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St. Olav University Hospital
Trondheim, , Norway
Countries
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References
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Sabo S, Pasdeloup D, Pettersen HN, Smistad E, Ostvik A, Olaisen SH, Stolen SB, Grenne BL, Holte E, Lovstakken L, Dalen H. Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. Eur Heart J Imaging Methods Pract. 2023 Nov 27;1(2):qyad040. doi: 10.1093/ehjimp/qyad040. eCollection 2023 Sep.
Sabo S, Pettersen HN, Smistad E, Pasdeloup D, Stolen SB, Grenne BL, Lovstakken L, Holte E, Dalen H. Real-time guiding by deep learning during echocardiography to reduce left ventricular foreshortening and measurement variability. Eur Heart J Imaging Methods Pract. 2023 Aug 1;1(1):qyad012. doi: 10.1093/ehjimp/qyad012. eCollection 2023 May.
Other Identifiers
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TRUST-AI_201
Identifier Type: -
Identifier Source: org_study_id
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