Soon, pregnant women will be able to monitor the growth of the fetus in the womb thanks to wearable ultrasound technology, as scientists at the University of California have developed a patch the size of a small coin that takes continuous live images deep inside the body for up to 24 hours, according to what was published by the British “Daily Mail”. .
wireless circuit
The innovative technology has been developed to monitor cardiac patients and detect early warning signs of strokes and heart attacks. But the team of researchers, led by Professor Sheng Xu, has announced the development of a version that can be used by pregnant women. Until now, the ultrasound “label” had to be physically connected to a computer, but the team of researchers is now creating a wireless circuit to facilitate use, in what would be an unprecedented breakthrough in the way doctors follow up on their patients, especially expectant mothers with chronic diseases.
Pregnant women are most likely to die
Expanding machine learning AI technology to monitor fetal health in the womb would be a major scientific breakthrough for pregnant women, especially those who are considered to be at higher risk of pregnancy-related deaths. The new innovation could be particularly useful for pregnant women, who live in hard-to-reach areas with few gynecologists/obstetricians who want to monitor the growth of their babies.
Expressive image – a newborn baby
artificial intelligence
Artificial intelligence is increasingly being leveraged to diagnose serious health conditions such as breast and bowel cancer, and heart disease. In addition to the experiments of the UCLA team, a team of doctors and scientists from the Smidt Heart Institute at Cedars-Sinai in Los Angeles is also seeking to create an AI tool that can effectively identify and differentiate between two life-threatening heart conditions, hypertrophic cardiomyopathy and cardiac amyloidosis. , which may be difficult for cardiologists to diagnose at first sight.
Algorithm to save lives
The Smidt Institute team of scientists’ new algorithm drew on more than 34,000 cardiac ultrasound videos from Cedars-Sinai and Stanford Healthcare Echocardiography Laboratories to identify hallmarks of heart wall thickness to identify patients with potentially life-threatening heart conditions.
Meanwhile, a team of MIT scientists has created a similar mini-sticker that can capture continuous live images of what’s going on deep inside the body for up to 48 hours.