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Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective.

Parniyan SadeghiHanie KarimiAtiye LavafianRonak RashediNoosha SamieefarSajad ShafiekhaniNima Rezaei
Published in: Expert review of clinical immunology (2024)
Machine learning algorithms have the potential to completely change how pediatric autoimmune disorders are identified, treated, and managed. Machine learning can assist physicians in making more precise and fast judgments, identifying new biomarkers and therapeutic targets, and personalizing treatment strategies for each patient by utilizing massive datasets and powerful analytics.
Keyphrases
  • machine learning
  • artificial intelligence
  • big data
  • deep learning
  • primary care
  • multiple sclerosis
  • case report
  • current status
  • risk assessment
  • rna seq
  • young adults
  • human health
  • single cell
  • childhood cancer