{
  "abstract": "Objectives Systematic lupus erythematosus (SLE) is an autoimmune disease with prognostic challenges due to its cyclic diversity. Artificial intelligence and machine learning (ML) has emerged as a powerful tool for analyzing multifactorial SLE data. This systematic review aims to investigate the current use of Machine Learning in predicting clinical outcomes and stratifying SLE patients.Methods A comprehensive search of PubMed, Scopus, Web of Science, and the Cochrane Library was conducted for studies published up to May 2025 evaluating the use of machine learning for stratifying SLE patients and determining prognosis. Extracted data included study design, country, recruitment period, sample size, ML application and algorithms, study aims, inclusion criteria, and main results.Results Seventeen studies applying machine learning to 16,483 SLE patients were included, with 81% of participants being female. The majority of studies (58.8%) originated from the USA. Random Forest was the most frequently used algorithm (41.1%), followed by recurrent neural networks and support vector machines. Main applications included predicting disease activity/flares, lupus nephritis, hospitalization risk, and molecular subtypes. Model performance, assessed by area under the ROC curve in nine studies, ranged from 0.595 to 0.9375. Sensitivity and specificity, reported in three studies, ranged from 0.75 to 82.1 and 0.75 to 89.6, respectively.Abstract PO:05:146 Figure 1Conclusions Machine learning demonstrates strong performance in analyzing complex SLE datasets, enabling accurate prediction of prognosis, disease activity, hospitalization risk, and treatment response. These models consistently outperform traditional approaches, supporting more personalized care and clinical decision-making for SLE patients across diverse clinical scenarios.",
  "authors": [
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Jorge Juan Fragio Gil"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Roxana González Mazarío"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Pablo Martínez Calabuig"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Laura Salvador Maicas"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Mireia Sanmartín Martínez"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Iván Lorente Betanzos"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Berta Gómez"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Amalia Rueda Cid"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Juan José Lerma Garrido"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Isabel Martínez Cordellat"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Isabel Balaguer"
    },
    {
      "affiliations": [
        "Servicio de Reumatología. Hospital General Universitario de Valencia, Valencia, Spain"
      ],
      "name": "Cristina Campos Fernández"
    }
  ],
  "title": "PO:05:146 Machine learning-based artificial intelligence in systemic lupus erythematosus: a systematic review of outcome prediction and patient stratification",
  "uid": "17b6a06a-6b3a-57f0-9eb3-edc5c6dbb53e"
}