El uso de la inteligencia artificial en la atención médica y la medicina personalizada

Abstract

In the fields of healthcare and personalized treatment, artificial intelligence (AI) has surfaced as a game-changing tool. The ability to analyze comprehensive patient data along with more general aspects to monitor and distinguish between ill and relatively healthy people will guide to a better understanding of biological indicators that can signal changes in health. Utilizing the power of electronic health records to integrate diverse data sources, identify patient-specific patterns of disease progression, and implement effective precision medicine is crucial for improving patient outcomes and providing real-time decision support. With individualized therapies based on each patient's specific genetic and medical profiles, AI can assist in identifying individuals who are most at risk of acquiring particular illnesses. AI may also be utilized to streamline administrative tasks in the healthcare industry, giving professionals more time to devote to patient care. Despite the potential benefits of AI in healthcare and personalized medicine, there are also challenges and concerns. These include the need for large and diverse data sets, the potential for bias in algorithms, the worry of encouraging an unhealthy dependence on technology at the expense of human judgment and the ethical, social and regulatory implications of using AI in healthcare. We will examine the present status of AI in healthcare and personalized medicine in this graduate paper, including how it is used to produce diagnose diseases, and create individualized treatment regimens. We will also look at the difficulties and worries related to the application of AI in healthcare, as well as the necessary ethical questions. In the end, this research seeks to shed light on the potential of AI in healthcare and personalized medicine as well as the measures that need to be taken to guarantee its secure and efficient application.