New York – After the completion of the birth process, some doctors sometimes examine the placenta, which is an organ inside the uterus that is connected to the fetus and comes out after childbirth, to ensure that there are no risks to the mother in the event of another pregnancy in the future.
But this process must be performed by specialized doctors and it takes a long time, and therefore, in many cases, medical teams neglect to do this step after the completion of the birth.
But a research team from Carnegie Mellon University and the University of Pittsburgh Medical Center in the United States has created a new artificial intelligence technology that can examine lab slices containing placenta tissue, in order to identify any health problems the mother may have.
The technology website “PhysDot Org” quoted the researcher Daniel Climmer as saying that “doctors have been training for years to learn how to detect medical problems in the placenta, and in many cases births occur in hospitals without performing a placenta test,” adding that the algorithmic equation The invention helps doctors examine the lab slides after imaging them and store the images on the computer, so that they can determine the health status of the placenta.
Given that it is difficult for a computer to examine and evaluate the complete image of the placenta, the new technique depends on the program to first identify all the blood vessels inside the placenta and then perform an examination of each of these vessels individually in order to determine whether it is in good health or not. .
The program can also conduct an assessment of the mother’s health status after childbirth, and whether she has any diseases or health problems.
The researchers emphasized that this technology could reduce the cost of performing placental examinations in the future, making this health service available to all mothers after childbirth. But Climer stresses that “this algorithmic equation will not lead to dispensing with specialized doctors in the near future, but it may help them to speed up the examination processes by identifying places of injury or disease that require that specialists pay more attention to them.”
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