Artificial intelligence in healthcare

Abstract

The integration of artificial intelligence (AI) in healthcare represents a technological revolution with the potential to significantly improve both operational efficiency and patient experience. This thesis explores the use of AI in different areas of healthcare, analyzing process automation, personalization of services, and impact on longevity and long-term health management.

The first chapter provides an overview of AI, defining key terminologies such as artificial intelligence and machine learning, and tracing the history and development of AI technologies in healthcare. A wide range of current applications is examined, highlighting how technologies and algorithms are being used to transform health care.

The second and third chapters focus on process automation and personalization of the customer experience. Specific case studies are presented that illustrate the implementation and impacts of automation in real-world settings, such as hospitals and medical device manufacturing. In addition, the adaptation of healthcare services through personalized recommendation systems is discussed in detail, with an analysis of the benefits and challenges encountered.

The fourth chapter turns to the use of AI in longevity research, examining the successful applications and future potential of this technology for disease prevention and long-term health management.

Ethical and regulatory issues are examined in the fifth chapter, where the ethical, legal and data management implications of using AI in healthcare are considered. The last chapter casts its gaze toward emerging trends and the future impact of AI in medical practice, offering reflections for policymakers and practitioners.

In conclusion, this thesis summarizes key learnings and lays the foundation for future research, emphasizing the importance of an ethical and regulated approach in the adoption of AI technologies in healthcare.