Artificial Intelligence and Public Health: A Descriptive Review of Use Cases

Abstract

The field of public health is critically important because it works to improve and safeguard the health of populations. The goal of public health is to improve the health and well-being of a population as a whole by focusing on issues such as disease prevention and lifestyle promotion. Those who work in public health have the important roles of educating populations, formulating policy, and responding to catastrophes and other emergencies. There are always emerging difficulties and opportunities in the field of public health, making the work of public health experts all the more important. AI has numerous applications that could greatly improve public health. AI is being used in many different ways to better health outcomes, such as in the detection and forecasting of disease outbreaks, the enhancement of patient diagnosis and treatment, the simplification of clinical trial processes, and the monitoring and enhancement of public health programs. However, there are also obstacles that must be overcome, such as protecting users' personal information, making sure AI models are accurate and fair, eliminating bias, and considering the ethical implications of using AI to public health.