Clinical Applications of Radiomics in Nuclear Medicine.

Radiomics is an emerging field of artificial intelligence that focuses on the extraction and analysis of quantitative features such as intensity, shape, texture and spatial relationships from medical images. These features, often imperceptible to the human eye, can reveal complex patterns and biological insights. They can also be combined with clinical data to create predictive models using machine learning to improve disease characterization in nuclear medicine. This review article examines the current state of radiomics in nuclear medicine and shows its potential to improve patient care. Selected clinical applications for diseases such as cancer, neurodegenerative diseases, cardiovascular problems and thyroid diseases are examined. The article concludes with a brief classification in terms of future perspectives and strategies for linking research findings to clinical practice.

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Déclaration de conflit d'intérêts

F.M.M. is medical advisor for NanoMab Technology Ltd. and Advanced Accelerator Applications (AAA) GmbH/Novartis; holds speaker positions at Siemens, GE Healthcare, and Bayer; and has recently received institutional grants from NanoMab Technology Ltd., Siemens, and GE Precision Healthcare LLC. K.-J.L and F.M.M. received honoraria for consultancy service from Telix Pharmaceuticals. P.L. received speaker honoraria from Blue Earth Diagnostics. N.G. received honoraria for lectures from Blue Earth Diagnostics and honoraria for advisory board participation from Telix Pharmaceuticals.