AI for Public Health and Population Health Management

Abstract

Artificial intelligence (AI) has great promise for changing the healthcare industry, especially in resource-constrained settings. From the discovery of medications to public health, artificial intelligence has reshaped traditional approaches to health innovation. Its applications are well-documented: machine learning algorithms have been employed by electronic health record (EHR) systems to identify data and perform predictive analysis to alert doctors to co-morbidities and high-risk situations. Electronic health records, mobile health, telemedicine, artificial intelligence, and other digital health practices, together with smartphone-based healthcare solutions, are effective instruments in the battle against infectious illnesses that are prone to pandemics. It is possible to hunt down those who are infected by using sign-monitoring devices. AI-powered gadgets that constantly track the vitals of patients along with medical metrics can help healthcare professionals recognise the beginning stages of DRPs or poor responses.