Artificial Intelligence can predict, prevent sudden cardiac death: Research

Predicting sudden cardiac death and perhaps even addressing a persons risk to prevent future death may be possible through artificial intelligence AI according to a research that could offer a new move toward prevention and global health strategiesThe AI analysis was able to identify people who had more than 90 per cent of risk of dying suddenly and they represented more than one fourth of all cases of sudden cardiac deathSudden cardiac death a public health burden represents 10 per cent to 20 per cent of overall deaths Predicting it is difficult and the usual approaches fail to identify highrisk people particularly at an individual level said lead author Xavier Jouven professor of cardiology and epidemiology at the Paris Cardiovascular Research Center Inserm and University of Paris in FranceWe proposed a new approach not restricted to the usual cardiovascular risk factors but encompassing all medical information available in electronic health recordsJouven added The findings will be presented at the American Heart Associations Scientific Sessions 2023 to be held between November 11 and 13 in Philadelphia USThe team analysed medical information with AI from registries and databases in Paris France and Seattle for 25000 people who had died from sudden cardiac arrest and 70000 people from the general population with data from the two groups matched by age sex and residential area The data which represented more than one million hospital diagnoses and 10 million medication prescriptions was gathered from medical records up to 10 years prior to each deathUsing AI to analyse the data researchers built nearly 25000 equations with personalised health factors used to identify those people who were at very high risk of sudden cardiac death Additionally they developed a customised risk profile for each of the individuals in the study The personalised risk equations included a persons medical details such as treatment for high blood pressure and history of heart disease as well as mental and behavioural disorders including alcohol abuseThe analysis identified those factors most likely to decrease or increase the risk of sudden cardiac death at a particular percentage and time frame for example 89 per cent risk of sudden cardiac death within three monthsWhile doctors have efficient treatments such as correction of risk factors specific medications and implantable defibrillators the use of AI is necessary to detect in a given subject a succession of medical information registered over the years that will form a trajectory associated with an increased risk of sudden cardiac death Jouven said We hope that with a personalised list of risk factors patients will be able to work with their clinicians to reduce those risk factors and ultimately decrease the potential for sudden cardiac deathThis story has been sourced from a third party syndicated feed agencies Midday accepts no responsibility or liability for its dependability trustworthiness reliability and data of the text Midday managementmiddaycom reserves the sole right to alter delete or remove without notice the content in its absolute discretion for any reason whatsoever