Artificial Intelligence and Machine Learning in Clinical Diagnostic Imaging: Current Applications and Future Horizons
Keywords:
Medical Imaging; clinical management; evidence-based medicine; therapeutic targets; diagnostic evaluation.Abstract
Background: Medical Imaging disorders present significant clinical challenges globally, necessitating evidence-based ocontemporary diagnostic and therapeutic strategies. Objective: This narrative review critically synthesizes recent clinical literature regarding artificial intelligence and machine learning in clinical diagnostic imaging: current applications and future horizons. published Methods: A comprehensive literature search across PubMed, Cochrane Library, and clinical guidelines
from 2020 onward conducted. Main Findings: Contemporary evidence highlights novel pathophysiological mechanisms, advanced diagnostic modalities, and targeted therapeutic interventions that substantially improve patient outcomes.
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References
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3. World Health Organization. Global status report on medical imaging and chronic conditions. WHO Press; 2025.
