Artificial Intelligence and Machine Learning in Integrated Diagnostic

Abstract

AbstractArtificial intelligence (AI) and machine learning (ML) in the medical field have the potential to revolutionize the way in which diseases are detected and treated. Exploiting advanced algorithms and techniques, AI-based systems can analyze a very large amount of medical data and identify patterns that may not be detectable to human experts. This can lead to more accurate and efficient diagnoses, as well as the development of new diagnostic/prognostic methods. Integrated diagnostics combines multiple diagnostic modalities and data sources to provide a more comprehensive understanding of a patient’s health status. Due to a large amount of information collectable in this field, the application of AI may provide significant and cost-effective advancements in the next years. In this chapter, the current state of AI in integrated diagnostic medicine will be explored, including its applications, challenges, and future prospects.