Advancements toward clinical application of AI–driven CT analysis in pulmonary hypertension: a systematic literature review

In this systematic literature review, we evaluate the current evidence on AI-driven CT analysis in PH with a focus on advancements toward clinical applicability. We will examining the role of AI-based CT quantification in: (1) PH detection and diagnosis; (2) phenotyping and aetiological classification; (3) prognostication and risk stratification; and (4) assessment of management response. We aim to identify strengths, limitations, and gaps in the literature, which will clarify the translational potential of AI-driven CT analysis and inform future research priorities necessary for clinical adoption.