Lifecycle Assurance for AI-Enabled Clinical Software: A Systematic Literature Review (Data and Replication Package)

Data and replication package for the systematic literature review "Lifecycle Assurance for AI-Enabled Clinical Software: A Systematic Literature Review", submitted to Information and Software Technology. The review covers 141 independent studies (94 primary-practice and 47 framework studies) published between January 2019 and 17 August 2026, identified through Scopus, Web of Science, IEEE Xplore, PubMed and a citation-chasing audit. Files:- README.md: overview, codes used and instructions for reproducing the results.- Lifecycle_Assurance_Data.xlsx: study-level workbook with the included studies, search strings, codebook, extraction and appraisal data, requirement-to-evidence mappings, agreement data and LAEC records. Start with the README sheet.- Supplementary_Material.pdf: supplementary material of the article (Tables S1 to S15).- replication_package.zip: database search strings, the coded data as CSV files and a Python script (standard library only) that recomputes every count reported in the article. Version 1.1.0 corresponds to the submitted manuscript and replaces the earlier version.