AI-FoCUS performs well in LVEF assessment

We report that FoCUS AI-assisted LVEF assessments provide highly reproducible LVEF estimations in comparison to formal TTE,” the Motazedian team wrote. While TTE is the standard for determining LVEF in clinical practice, the researchers noted that it is “often not readily available” for immediate bedside evaluation and in low-resource settings. Assessing LVEF is fundamental in FoCUS exams. While previous studies suggest that FoCUS is useful in screening for LVEF, the researchers pointed out that these have been limited to trained sonographers and clinicians with formal training. AI has also demonstrated promise in this area, but the researchers again noted that studies with AI have involved formally trained, experienced clinicians and sonographers. Motazedian and colleagues sought to test the accuracy of FoCUS AI-assisted LVEF assessment and compare this between novice and experienced users. They used a commercially available AI device (Kosmos, EchoNous) to perform FoCUS exams and included data from 449 participants with 424 exams. The team found that the overall intraclass coefficient was 0.904 (with 1 as reference). This included a coefficient of 0.845 in the experienced cohort and 0.921 in the novice cohort. The team also reported a significant bias of 0.73% toward TTE (p = 0.005), with a level of agreement of 11.2%. Additionally, it found that the categorical grading of LVEF severity had excellent agreement with TTE (weighted kappa = 0.83). The researchers al...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Ultrasound Source Type: news