OPTIMIZATION OF CARDIOVASCULAR DIAGNOSIS THROUGH ARTIFICIAL INTELLIGENCE APPLIED TO THORACIC RADIOLOGICAL IMAGES: A SYSTEMATIC REVIEW OF DIAGNOSTIC PERFORMANCE, GENERALISABILITY AND TRANSLATIONAL READINESS
Background. Cardiovascular disease remains the leading cause of death worldwide, yet risk stratification depends on inputs that are frequently missing in routine care. Chest radiographs and chest computed tomography (CT) are acquired in vast numbers for non-cardiac indications and contain cardiovascular information tha...