Traditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility. Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities.
View Article and Find Full Text PDFAorto-pulmonary window (APW) is a rare congenital heart disease. The non-restrictive types of APWs present at an early age and require early surgical correction. The transcatheter device closure in young infants pose significant challenges that include hemodynamic instability during arteriovenous loop formation and due to potential encroachment of the occlusive device on vital adjacent structures, and sizing of introducer sheaths and delivery systems.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
November 2024
Attraction and mating between male and female animals depend on effective communication between conspecifics. However, in mosquitoes, we have only a rudimentary understanding of the sensory cues and receptors critical for the communication that is essential for reproductive behavior. While it is known that male use sound to help them identify females, it is not unclear whether sound detection is absolutely required since other cues such as vision may also participate in mating behavior.
View Article and Find Full Text PDFCutting-edge 3-dimensional technologies like 3-dimensional printing and extended reality visualization provide novel, immersive ways to understand and interact with volumetric medical imaging data for preprocedural planning. We present a case that illustrates the utility of these techniques in a patient requiring a complex transcatheter intervention.
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