Castillo‐Rodriguez, Cristian

Coronary artery disease (CAD) remains the leading cause of cardiovascular morbidity and mortality worldwide, with plaque composition and morphology being as key determinants of disease progression and clinical outcomes. Accurate plaque characterization is essential for risk stratification and therapeutic decision-making, yet conventional image interpretation is limited by inter-observer variability and time-intensive workflows. Artificial intelligence (AI) models have emerged as a transformative tool for automated coronary plaque analysis across multiple imaging modalities. AI-driven models demonstrate high diagnostic accuracy for plaque detection, segmentation, quantification, and vulnerability assessment. Integration of AI-derived imaging biomarkers with clinical risk scores can further enhance prediction of major adverse cardiovascular events and supports personalized management. These advances position AI-enhanced imaging as a powerful adjunct for both invasive and non-invasive evaluation of CAD. Despite its promise, important barriers to widespread clinical adoption remain, including data heterogeneity, algorithmic bias, limited model transparency, insufficient prospective validation, regulatory challenges, and incomplete integration into clinical workflows. Addressing these challenges will be essential to ensure safe, generalizable, and cost-effective implementation of AI in routine cardiovascular care.

Positive inotropic agents have an important role in the management of acute decompensated heart failure patients with reduced cardiac output and poor end-organ perfusion. However, despite their acute hemodynamic benefits, the role of inotropes in the management of chronic advanced heart failure remains limited to palliative therapy or as a bridging strategy to mechanical support or heart transplantation. Milrinone is one of the most common inotropic agents used in advanced heart failure to provide symptomatic relief and improved hemodynamics. This review discusses the current evidence of milrinone’s efficacy, indications, outcomes in advanced heart failure, evidence gap, and future directions.

Infective endocarditis (IE) poses a diagnostic challenge due to its diverse clinical presentations, especially among high-risk groups. Diagnosis relies on integrating clinical presentation, blood cultures and imaging findings. Advanced imaging techniques enhance diagnostic accuracy, particularly in complex cases. Treatment involves antimicrobial therapy and surgery in complicated cases, with early intervention crucial for optimal outcomes. Coordinated care by an Endocarditis Team ensures tailored treatment plans, prompt complication management and long-term monitoring after discharge. The authors present a case of subacute IE presenting initially with back pain in a patient with a complex medical history, highlighting diagnostic and management approaches.