The podcast explores the role of artificial intelligence in clinical ultrasound, including its accuracy in hemodynamic measurements and quality assessment of ultrasound images. It discusses a study comparing handheld and cart-based ultrasound machines for assessing left ventricular ejection fraction. The hosts also examine the ethical implications and privacy concerns of AI-driven diagnostic landscape in ultrasound.
Artificial intelligence (AI) calculations for hemodynamic measurements in clinical ultrasound showed moderate to high agreement with an expert operator, depending on the specific measurement being assessed.
The accuracy of AI calculations in clinical ultrasound is influenced by the quality of the images used, indicating the importance of capturing high-quality images for reliable AI results.
Deep dives
Agreement of AI calculations for EF, IVC, and LVOTVTI with expert operator
This podcast episode discusses a study that compares the accuracy of artificial intelligence (AI) calculations for three hemodynamic measurements (EF, IVC, and LVOTVTI) with those made by an expert operator. The study found that there was a moderate agreement between AI calculations and the expert operator for EF, fair agreement for IVC, and high agreement for LVOTVTI. Additionally, higher quality images generally had a better correlation between AI and the expert operator. However, it is important to note that the study was funded by the manufacturer of the AI device and the AI calculations were tested on a single manufacturer's device.
Importance of considering image quality and limitations of the study
The podcast highlights the importance of image quality in AI calculations and how it can affect the accuracy of the measurements. The study excluded poor quality images, which may limit the generalizability of the findings to populations with challenging imaging conditions. Furthermore, the study focused on a single manufacturer's device, so the results may not be representative of AI technology from other manufacturers. It is crucial to approach the use of AI in clinical practice with caution and to evaluate its performance in the context of individual devices and patient populations.
Implications for incorporating AI into clinical practice
The podcast discusses the implications of the study's findings for the incorporation of AI into clinical practice. While AI calculations for hemodynamic measurements showed promising agreement with an expert operator, it is still important to exercise judicious reliance on this technology. Healthcare professionals and educators need to make informed decisions about trusting and teaching AI in practice, considering factors such as the performance of specific AI devices and the prevalence of pathology in their patient populations.
Mike flies solo and ventures into the wily world of artificial intelligence in clinical ultrasound. How well does the machine measure up to the expert when it comes to hemodynamic measurements with echo?