Nadiya Ya Zhylka, Nina G Goyda, Olena S Shcherbinska
THE ROLE OF A FAMILY DOCTOR IN SOLVING THE PROBLEMS OF FAMILY PLANNING
Wiadomosci lekarskie (Warsaw, Poland : 1960)
magnetic resonance imaging mri findings neuromyelitis optica spectrum disorder nmosd multiple sclerosis ms patients could lead us discriminate toward instance ufiber dawsons fingertype lesions suggestive ms however linear ependymal lesions raise possibility nmosd recently artificial intelligence ai models used discriminate nmosd ms based mri features study aim systematically review capability ai algorithms nmosd ms discrimination based mri features searched pubmed scopus web sciences embase ieee databases august 2023 studies used aibased algorithms discriminate nmosd ms using mri features included without restriction time region race age data nmosd ms patients aquaporin4 antibodies aqp4ab status diagnosis criteria performance metrics accuracy sensitivity specificity auc artificial intelligence paradigm mr imaging used features extracted study registered prospero crd42023465265 fifteen studies included systematic review sample sizes ranging 53 351 1362 ms patients 1118 nmosd patients included systematic review aqp4ab positive 949 nmosd patients 9 studies eight studies used machine learning ml classifier 7 used deep learning dl ai models based mri mri clinical features yielded pooled accuracy 82 95 ci 7886 sensitivity 83 95 ci 7988 specificity 80 95 ci 7586 subgroup analysis using mri features yielded accuracy sensitivity specificity 83 95 ci 7888 81 95 ci 7687 84 95 ci 7989 respectively ai models based mri features showed high potential discriminate nmosd ms however heterogeneity mr imaging model evaluation reporting performance metrics among confounders affected reliability results welldesigned studies multicentric datasets standardized imaging evaluation protocols detailed transparent reporting results needed reach optimal performance