AI may significantly aid health care clinicians inexperienced in lung ultrasound to obtain high-quality LUS clips: JAMA
A recent study published in JAMA Cardiology has concluded that artificial intelligence (AI) is capable of supporting trained health care professionals (THCPs) in drawing diagnostic-quality lung ultrasound (LUS) images similar to those collected by expert operators. This study was conducted by Cristiana B. and fellow researchers in the US.
Lung ultrasound has been found crucial for diagnosing the dyspnea-related causes such as cardiogenic pulmonary edema; however, the use is largely confined due to significant technical skills needed for performance. Several previous studies demonstrated AI potential as an important component for helping new users in acquisition of quality images in cardiac ultrasound.
This multicenter diagnostic validation study was conducted between July and December 2023 at four clinical sites. The patients aged 21 years or more with shortness of breath were recruited for two LUS examinations-one performed by THCPs with Lung Guidance AI software and the other by experts in LUS without AI assistance. Medical assistants, respiratory therapists, and nurses were standardized to use AI for LUS image acquisition before this study. Lung Guidance AI used deep learning algorithms to assist in image acquisition and B-line annotation, using an 8-zone LUS protocol to automatically acquire diagnostic-quality images. The main outcome measure was the proportion of diagnostic-quality examinations achieved by THCPs using AI, as adjudicated by a panel of five blinded expert LUS readers.
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