Punervasu Vyas, National Application Manager, Mindray

The aim of medical technologies has always been early detection and early prevention, since time immemorial. In the year 2018 we would like to renew this vow and make a solemn promise to deliver more and more solutions that keep with the vision of Early Detection and Early Prevention.

Ultrasound researchers have been constantly striving to help clinicians gain an edge over diseases. One recent example has been shear wave elastography. Shear wave elastography has been around since 2004, but the real effects it has had on diagnostic quality have recently started to become evident. Shear Wave elastography when combined with the ZST+ platform of the Resona series solves the existing difficulties of elastography. SWE is now faster, more accurate, and more importantly has become real time on all transducers. ZST+ technology’s artificial intelligence allows users to gain assistance from reliability indices to figure out the more accurate results. This way liver diseases, malignancies, etc. can be detected earlier and then eventually managed well.

Another giant leap in technology is V-Flow. V-Flow technology is a blood flow measurement technology which is, first, angle independent, second, provides the ability to study the blood hemodynamics in the form of vectors. Moreover, the advanced measurements like Wall Shear Stress (WSS) help us study the shear stress the arterial walls face. This helps in detecting atherosclerotic changes even before blood reports of IMT measurements can. With WSS plaques can now also be quantified, which has not been possible with any imaging modality till now.

On antenatal diagnosis ultrasound systems with AI are already becoming established in the clinical community. However, systems that employ AI with cognitive learning are guaranteed to have an edge over the generic AI-based systems. A simple yet very effective example of this is AI-based fetal brain study. The Smart Planes CNS technology available on the ZST+ systems is a one of its kind technology. It not only delineates all the foetal head planes but also makes the measurements and annotations, automatically with high accuracy. This is all possible because the AI is based on cognitive learning rather than simple pattern recognition based ones. I am certain that these technologies in the very near future will improvise patient care.


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