The term “AI” has grown tremendously in the smart gadget sector, and it is largely integrated into smartphones and smartwatches. In respect to these statements, we have a shocking study report from MedicalXpress that tells us that in the future, AI and smartwatches can work together to save people’s lives.
AI to detect people’s risk of cardiac arrest:
A presentation was showcased at the American Heart Association’s Resuscitation Science Symposium 2023, which was held between November 11 and 12 in Philadelphia. The study implies that AI may be able to predict sudden cardiac death and possibly even address an individual’s risk to prevent future death. Taking the data from the two groups matched by age, sex, and residence region, the study team used artificial intelligence (AI) to analyze medical records. Registries and databases in Paris, France, and Seattle for 25,000 individuals who had died from sudden cardiac arrest and 70,000 individuals from the general public were analyzed.
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The prediction models’ possible use outside of this study is one of the study’s shortcomings. Medical records up to ten years earlier relating to each death provided the data, which included over one million hospital diagnoses and ten million prescriptions for medications. Researchers developed over 25,000 equations with individualized health indicators using artificial intelligence to analyze the data and identify individuals who had a very high risk of sudden cardiac death.
Also, a personalized risk profile was created for each and every participant in the research. In order to fully utilize such a complex system, proper tools must be supported.
In this regard, the upcoming generations of smartwatches and smart bands, which will likely have more potent processors and more accurate sensors, could be of great assistance. All of the patient’s medical information, including therapy for hypertension and heart disease history, as well as information about mental and behavioral problems like alcoholism, was incorporated into the customized risk equations. With the help of a certain percentage and time period, the research determined which criteria were most likely to contribute to raising or decreasing the risk of sudden cardiac death.
