2024-01-12 07:15:04
New research suggests that artificial intelligence could improve the diagnosis of peripartum cardiomyopathy, a treatable and life-threatening condition that weakens the heart muscle during pregnancy or in the months after childbirth.
The study was carried out at the Mayo Clinic in the United States.
Researchers used an AI-powered digital stethoscope that captures heart sounds and electrocardiogram (ECG) data to identify twice as many cases of peripartum cardiomyopathy compared to standard medical care.
Identifying poor heart pumping that occurs as a result of pregnancy is important because symptoms, such as shortness of breath when lying down, swelling of the hands and feet, weight gain, and rapid heartbeat, can be confused with symptoms normal of pregnancy.
Dr. Demilade Adedinsewo, a cardiologist at the Mayo Clinic, led the research.
Nigerian women have the highest reported incidence of peripartum cardiomyopathy.
The pragmatic randomized clinical trial enrolled 1,195 women receiving medical care during pregnancy in Nigeria.
About half were screened with AI-guided screening using the digital stethoscope, and half received routine obstetric care in addition to a clinical ECG.
Electrocardiogram. (Photo: Mayo Clinic)
Echocardiogram was used to confirm when the AI-powered digital stethoscope predicted peripartum cardiomyopathy.
Overall, 4 percent of pregnant and postpartum women in the intervention group of the clinical trial had cardiomyopathy compared with 2 percent of those in the control group, suggesting that half are likely not detected by screening. usual medical care. (Source: Mayo Clinic)
#Artificial #intelligence #detect #pregnancyrelated #heart #diseases