Advances in Radiological Imaging Modalities and Their Expanding Role in the Early Diagnosis, Monitoring, and Prognosis of Internal Medicine Disorders: A Comprehensive Review

TL;DR

This review discusses how advanced imaging techniques like CT, MRI, and PET, combined with AI, are improving early diagnosis and treatment of diseases, but highlights challenges like cost and access.

Contribution

The paper provides a comprehensive overview of how modern radiological imaging and AI are transforming clinical decision-making in internal medicine.

Findings

Advanced imaging modalities and AI integration enhance diagnostic accuracy and treatment planning.

Hybrid technologies like PET/MRI improve diagnostic precision in neurology and oncology.

Challenges include high costs, inconsistent protocols, and the need for large-scale validation studies.

Abstract

This review explores the growing role of advanced radiological imaging in internal medicine, focusing on its applications in prognosis prediction, disease monitoring, and early diagnosis. It highlights how developments in computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), ultrasound, and the integration of artificial intelligence (AI) are reshaping clinical decision-making in fields such as neurology, cardiology, and oncology. Although progress has been substantial, widespread adoption is still limited by high costs, unequal access, and the absence of consistent protocols. The use of AI in combination with radiomics, the quantitative study of medical images, has enhanced diagnostic accuracy and expanded opportunities for outcome prediction and treatment planning. However, challenges remain, including inconsistencies in data quality, regulatory barriers, and the pressing need for validation through large-scale, multicenter studies. Hybrid technologies such as PET/MRI, which combine functional and anatomical imaging, hold particular promise for improving diagnostic precision in neurology and oncology. Together, these innovations illustrate the transformative potential of modern imaging to enable earlier interventions and support more personalized care strategies. The review emphasizes the need for validation, standardized frameworks, and international collaboration to overcome current limitations. Addressing these concerns will broaden the accessibility of these tools, fostering more equitable healthcare and improved outcomes worldwide. Finally, it provides practical guidance for clinicians, researchers, and policymakers who must adapt to the rapidly advancing landscape of radiological imaging.

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