Decoding the Invisible

Abstract

Artificial intelligence (AI) and radiomics are fundamentally transforming the future of medical imaging by uncovering therapeutically significant information that traditional interpretation methods often overlook. This chapter delves into their expanding roles in healthcare, radiology, and metabolic medicine, highlighting how AI-driven radiomic analysis can be seamlessly integrated into clinical workflows to enhance diagnostic precision. Radiomics enables predictive modeling and personalized diagnostics by extracting and analyzing subtle imaging features and complex patterns from common modalities such as CT, MRI, and PET. Utilizing advanced AI techniques to decode microscopic textural variations, metabolic activity trends, and early indicators of disease progression, radiologists are evolving into sophisticated data interpreters. The chapter explores the revolutionary impact of AI in improving diagnostic accuracy, stratifying patient risk, and tailoring treatment strategies—especially critical in metabolic diseases where early detection is vital for effective intervention.

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