Ultrasound - Diagnostic technique

Krishna IVF ultrasound is used in a variety of situations, starting with assessment of the follicle by longitudinal tracking, 3D and 4D assessment of the follicle through a technology called 5G follicle, which was developed along with Samsung research Centre into the current model of ultrasound machines. It is also used to assess the gradual development of the follicle creates a process called longitudinal tracking the follicle period. In the area, apart from the 3D and 4D assessment cavity, the ultrasound technology at Krishna IVF helps us to monitor the junction zone and also the 3D and 4D assessment of the blood flows of the uterus. Additional areas where the call to ultrasound 3D and 4D are used for in abnormality of the uterus where fibroids for their location and size through a process called fibroid mapping.

This fibroid mapping uses three-dimensional technology to find the exact location, and it makes the decision to do the surgery or not to do surgery. In the area called adenomyosis, which is an abnormality of the uterus, 2D uterus is seldom identified, even if it identifies it is not very efficient. Krishna IVF Clinic uses 3D technology to assess the junctional zone and the degree of adenomyosis. This, in turn, helps us to accurately diagnose the problem. Another major area that is seldom used anywhere in India or Asia is the use of 3D technology to assess scrotum pathology. In other words, in layman’s terms, the examination of the testis and its blood flow in three dimensions.

In short, the accompanying videos show the variety of ways the technology is used at Krishna IVF, and the quality of technology that is used to help the patient at Krishna IVF is state of the art. In addition to this, Krishna IVF, along with Samsung Research Centre, works in the field of Artificial Intelligence, and this collaboration of activity has resulted in 11 scientific publications in engineering and medical journals, and these publications are at cutting-edge technology of the use of Artificial Intelligence and Ultrasound, the links for these publications can be found in the publication section.

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