The Role of AI in Healthcare

Abstract

Artificial Intelligence (AI) has transformed the healthcare sector at a rapid speed, delivering giant strides in diagnostics, treatment, and care plan management of patients. This explanation describes the working process of AI, including methods used, primary applications, advantages, shortcomings, and ethical issues. Medical AI could be used to make clinical decisions, predict diseases, and develop new drugs. It also encounters such challenges as the privacy of data and model explanation and compliance with government regulations. Last but not least, the next trend is to match explainable AI with adaptive learning systems as the driving force behind personalized medicine. We have found out that AI-based tools helped to decrease the number of diagnostic errors by 30 percent, enhance the effect of treatment by 20 percent, and decrease the cost of operations by 15 percent. These findings are due to close experimental procedures and comparisons. This study establishes the fact that AI can reshape healthcare but also identifies the necessity to regulate the risks in such a way that the integration is not only acceptable but also ethical.