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Complex Real-Time Labor and Delivery Analysis Draws on AI Machine Learning with Dr. Emily Hamilton PeriGen TRANSCRIPT
Download PDFJun 2, 2022
Dr. Emily Hamilton is the Senior Vice President of Clinical Research at PeriGen, which is applying artificial intelligence and machine learning to early warning and clinical decision support in healthcare. With a focus on labor and delivery, PeriGen is providing real-time information to clinicians to drive down the likelihood of birth-related brain injury.
Emily explains, "So, what we have developed is an AI machine learning-based way of looking at the tracing to identify contractions, to notify nurses and doctors that there are excessive contractions, and that's gone on for a while. We've also used that to recognize patterns in the fetal heart rate, which indicate that the baby's not responding well to labor and to notify them of that so that they can intervene and prevent the adverse outcome."
"Likewise, we can look at the labor, and we can compare a patient's labor to a group of similar women who are having the same frequency of contractions, a number of other variables, and indicate whether or not this labor is on course or whether or not it's slower or perhaps faster. It's all done in a very consistent, quantifiable way."
@PeriGen #AI #ArtificialIntelligence #MachineLearning #ML #WomensHealth #LaborandDelivery #BirthRelatedBrainInjury
