Applications of AI Techniques in Healthcare and Wellbeing

Abstract

The integration of Artificial Intelligence (AI) techniques in healthcare and wellbeing systems has witnessed significant advancements, offering transformative solutions to traditional healthcare paradigms. This chapter provides a comprehensive overview of the diverse applications of AI in the healthcare sector, highlighting its potential to enhance diagnostics, treatment planning, personalized medicine, and overall patient outcomes. AI techniques, including machine learning and deep learning algorithms, have demonstrated remarkable capabilities in analyzing large datasets such as medical images, genetic information, and electronic health records. These technologies enable more accurate and timely disease detection, improving diagnostic accuracy and aiding healthcare professionals in making informed decisions. In treatment planning, AI-driven systems contribute to the development of personalized therapeutic strategies. By leveraging patient-specific data, AI models can predict treatment responses, optimize drug regimens, and minimize adverse effects.