Revolutionizing personalized medicine with generative AI: a systematic review

Abstract Background Precision medicine, targeting treatments to individual genetic and clinical profiles, faces challenges in data collection, costs, and privacy. Generative AI offers a promising solution by creating realistic, privacy-preserving patient data, potentially revolutionizing patient-centric healthcare. Objective This review examines the role of deep generative models (DGMs) in clinical informatics, medical imaging, bioinformatics, and early diagnostics, showcasing their impact on precision medicine. Methods Adhering to PRISMA guidelines, the review analyzes studies from databases such as Scopus and PubMed, focusing on AI's impact in precision medicine and DGMs' applications in synthetic data…

• AT
  Advanced Technology Research Council

  Award: VRI-20-10
• UA
  United Arab Emirates University

  Award: G00003558
• A
  ASPIRE

  Award: VRI-20-10