Kutlu, İzzettinKutlu, Izzettin08.02. Department of Architecture / Mimarlık Bölümü08. Faculty of Engineering and Architecture / Mühendislik Mimarlık Fakültesi01. Mardin Artuklu University / Mardin Artuklu Üniversitesi2025-07-022025-07-0220251346-75811347-2852https://doi.org/10.1080/13467581.2025.2505794https://hdl.handle.net/20.500.12514/8938The application of developing computer technologies such as artificial intelligence (AI), deep learning (DL), and machine learning (ML) on digital image data can help in monitoring, controlling, and preserving cultural heritage buildings. Defects such as mortar losses, joint damage, discoloration, erosion, cracks, vegetation, leakage, and vandalism seen in cultural heritage buildings negatively affect their structural health. There are a limited number of studies on the use of artificial intelligence and integration at cultural heritage buildings. This study includes the research and bibliometric analysis of existing studies. In the study, structural damage detection techniques performed using AI-assisted image processing techniques are summarized, and deep learning techniques applied, especially in the conservation of heritage sites, are detailed. The study found a significant deficiency in the number of applications and research in this field, particularly within T & uuml;rkiye. AI-assisted digital inspections provide useful data for studies to be conducted in this field and increase the level of confidence in the damage detection of heritage buildings. As a result, today, artificial intelligence, the effective use of which is increasing rapidly, can be integrated into many fields and enables interdisciplinary studies.en10.1080/13467581.2025.2505794info:eu-repo/semantics/openAccessArtificial IntelligenceHistorical BuildingCultural HeritageDeep LearningBibliometricsArticle2-s2.0-105005527915