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Perspectives of Evidence-Based Therapy Management
Fabian Kiessling1,2, Volkmar Schulz1,2
1Universitätsklinikum Aachen, Lehrstuhl für Experimentelle Molekulare Bildgebung, Aachen, Germany.
Nuklearmedizin. Nuclear Medicine
|October 6, 2023
Summary
Molecular imaging and AI-driven analysis of diagnostic data offer complementary approaches to precisely characterize diseases. These methods enhance patient selection and therapy monitoring for improved precision medicine outcomes.
Area of Science:
- Medical Imaging
- Computational Pathology
- Precision Medicine
Background:
- Advanced therapeutics necessitate detailed disease subclassification beyond anatomical features.
- Imaging molecular and pathophysiological processes is crucial for precise patient selection and therapy response tracking.
- Current diagnostic procedures often lack the granularity required for targeted therapeutic strategies.
Conclusions:
- Molecular imaging and computer-assisted data analysis are complementary tools for describing pathophysiological processes.
- Combined approaches of molecular imaging and AI hold significant potential for improving future therapy management.
- Synthetic data generation is crucial for developing future AI methodologies in diagnostics.
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