Artificial Intelligence Monitor Baby Movements in Intensive Care

A team of doctors, scientists and engineers, at American Mount Sinai Hospital, developed a deep learning algorithm; To learn more about the kinetic conditions of the babies in the intensive care unit of newborns, it depends on the analysis of videos to accurately monitor baby movements and to determine important neurological indicators. According to the study, published in the journal Eclinicalmedicine, associated with the Lancet, this system can serve as a non -surgical and wide tool, for continuous neural control in intensive care units, as it provides immediate and important visions of babies’ health conditions, which were not yet possible. Intensive care for babies needs more than 300,000 babies to the intensive care units annually in the United States, and the authors of the study say that awareness in infants is one of the most important indications of nervous investigation as it reflects the safety of the central nervous system, although the decoration of the nerve can be suddenly and can be a serious consequence, but Trend monitor, is such a continuing trend monitor, but that it continues, but constant nebey monitor, such as the constant nebey monitor, but the ongoing nebey monitor is, but that it is a serious consequence, but the constant nebey monitor, but that it is a serious consequence, but constant Monitor. and respiratory functions, were very absent in the intensive care units for newborns, despite the constant work of decades to apply electrical planning techniques and specialized intensive care units. Usually nervous examination is conducted, which can lead to the loss of gradual nerve changes that may indicate serious problems. The Mount Ciney team is based on the hypothesis that using the computer vision to monitor the baby’s movements can be an instrument to predict nervous changes in intensive care units. The detection of anatomical monuments The “Pose AI” technology is to detect the anatomical features of video data, which made areas such as sports and robots a revolution, and the team trained the artificial intelligence algorithm at about 17 million seconds video recordings of 115 babies in the Intensive Counts in the Mount Cenae undergo continuous electrical brain planning. The technology managed to follow the motor monuments accurately and expected two important cases; Anesthesia and cerebral imbalance, with high accuracy. The lead author of the study, Felix Richter, a professor of newborn medicine in the Department of Pediatrics at Mount Cenai, said the study confirmed that the application of an artificial intelligence algorithm to cameras that constantly monitored in the intensive care unit is an effective way to provide early detection of neurological changes, which can allow faster interventions and better results. ‘The research team expressed its surprise at the execution of’ Pose Ai ‘, which proved its effectiveness under different lighting conditions, either during the day, or in the night or in cases of babies subject to optical therapy, and from various photography angles, as the team noted that the’ movement index ‘is linked to the pregnant age and the age of the technology. Birth. Artificial intelligence and clinical care. The researchers believe that this technique is not aimed at replacing the assessments done by doctors and nurses, but rather works to support it by providing continuous lectures that can be used in a specific context. The team seeks to develop a system in which babies are constantly monitoring in intensive care units, in which artificial intelligence works to produce a tire to monitor the nerve condition, similar to the records of the heartbeat and breathing, with warning when changes occur in the levels of anesthesia or brain abales. Despite the positive results, the team referred to some of the limitations they faced in the study, as the models were trained in data collected from one institution, which means the need to evaluate the algorithm on data from other settings and different cameras. The research team plans to test this technology in other focused care units, develop clinical experiences to determine its impact on health care, and the team also plans to expand the scope of technology to include other neurological cases and apply it to different age groups, including adults. The researchers believe that the instruments supported by artificial intelligence can make a difference in clinical care as it contributes to reducing the duration of the residence, reducing the number of recharged cases to the hospital, helping to diagnose cancer and identify purposeful treatment and provide care in real time based on physiological data arising from bearable devices.