Artificial intelligence assessment of heart function is superior to sonographer assessment
Press releases may be edited for formatting or style | August 30, 2022
Artificial Intelligence
Cardiology
Barcelona, Spain – 27 Aug 2022: In patients undergoing echocardiographic evaluation of cardiac function, preliminary assessment by artificial intelligence (AI) is superior to initial sonographer assessment, according to late breaking research presented in a Hot Line session today at ESC Congress 2022.1
Dr. David Ouyang of the Smidt Heart Institute at Cedars-Sinai, Los Angeles, US said: “There has been much excitement about the use of AI in medicine, but the technologies are rarely assessed in prospective clinical trials. We previously developed one of the first AI technologies to assess cardiac function (left ventricular ejection fraction; LVEF) in echocardiograms2 and in this blinded, randomised trial, we compared it head to head with sonographer tracings. This trial was powered to show non-inferiority of the AI compared to sonographer tracings, and so we were pleasantly surprised when the results actually showed superiority with respect to the pre-specified outcomes.”
Accurate assessment of LVEF is essential for diagnosing cardiovascular disease and making treatment decisions. Human assessment is often based on a small number of cardiac cycles that can result in high inter-observer variability. EchoNet-Dynamic is a deep learning algorithm that was trained on echocardiogram videos to assess cardiac function and was previously shown to assess LVEF with a mean absolute error of 4.1–6.0% .2 The algorithm uses information across multiple cardiac cycles to minimise error and produce consistent results.
EchoNet-RCT tested whether AI or sonographer assessment of LVEF is more frequently adjusted by a reviewing cardiologist. The standard clinical workflow for determining LVEF by echocardiography is that a sonographer scans the patient; the sonographer provides an initial assessment of LVEF; and then a cardiologist reviews the assessment to provide a final report of LVEF. In this clinical trial, the sonographer’s scan was randomly allocated 1:1 to AI initial assessment or sonographer initial assessment, after which blinded cardiologists reviewed the assessment and provided a final report of LVEF (see figure).
The researchers compared how much cardiologists changed the initial assessment by AI to how much they changed the initial assessment by sonographer. The primary endpoint was the frequency of a greater than 5% change in LVEF between the initial assessment (AI or sonographer) and the final cardiologist report. The trial was designed to test for noninferiority, with a secondary objective of testing for superiority.
Dr. David Ouyang of the Smidt Heart Institute at Cedars-Sinai, Los Angeles, US said: “There has been much excitement about the use of AI in medicine, but the technologies are rarely assessed in prospective clinical trials. We previously developed one of the first AI technologies to assess cardiac function (left ventricular ejection fraction; LVEF) in echocardiograms2 and in this blinded, randomised trial, we compared it head to head with sonographer tracings. This trial was powered to show non-inferiority of the AI compared to sonographer tracings, and so we were pleasantly surprised when the results actually showed superiority with respect to the pre-specified outcomes.”
Accurate assessment of LVEF is essential for diagnosing cardiovascular disease and making treatment decisions. Human assessment is often based on a small number of cardiac cycles that can result in high inter-observer variability. EchoNet-Dynamic is a deep learning algorithm that was trained on echocardiogram videos to assess cardiac function and was previously shown to assess LVEF with a mean absolute error of 4.1–6.0% .2 The algorithm uses information across multiple cardiac cycles to minimise error and produce consistent results.
EchoNet-RCT tested whether AI or sonographer assessment of LVEF is more frequently adjusted by a reviewing cardiologist. The standard clinical workflow for determining LVEF by echocardiography is that a sonographer scans the patient; the sonographer provides an initial assessment of LVEF; and then a cardiologist reviews the assessment to provide a final report of LVEF. In this clinical trial, the sonographer’s scan was randomly allocated 1:1 to AI initial assessment or sonographer initial assessment, after which blinded cardiologists reviewed the assessment and provided a final report of LVEF (see figure).
The researchers compared how much cardiologists changed the initial assessment by AI to how much they changed the initial assessment by sonographer. The primary endpoint was the frequency of a greater than 5% change in LVEF between the initial assessment (AI or sonographer) and the final cardiologist report. The trial was designed to test for noninferiority, with a secondary objective of testing for superiority.
1(current)
You Must Be Logged In To Post A CommentRegisterRegistration is Free and Easy. Enjoy the benefits of The World's Leading New & Used Medical Equipment Marketplace. Register Now! |
|