Aller directement aux détails du preprintAller directement aux PREreviews

PREreviews de Data Security in AI Healthcare Applications: Challenges and Innovative Methods

4 PREreviews

Rédigez un PREreview Demander une PREreview
  1. par Deven Yadav

    This review paper surveys defensive techniques for healthcare AI systems, focusing on blockchain, zero-knowledge proofs (ZKP), and honeypots as complementary approaches to address adversarial attacks, data poisoning, and data breaches. The authors synthesize 13 prior works into a comparative table…

    Lire
  2. par Toba Isaac Olatoye, Ruth Ifeoluwa Afolabi et Dorcas Oluwaseun Aloba du Preprint Review Enthusiasts Club

    Summary:

    This research mainly explores the advantages and disadvantages of using Artificial Intelligence (AI) in healthcare and examines how cybersecurity tools can help reduce the risks associated with AI-based healthcare systems. The study is important because, as AI becomes increasingly…

    Lire
  3. par Simon Muhindi Savai, Ramatu Mohammed-Nafi'u, Nyande Paul Natale, Fidjans Austine Kwadu et Pyson Kalaba du Review & Curate Network (RCN)
    Does the introduction explain the objective of the research presented in the preprint?
    Yes
    The introduction clearly explains the objective of the article in a comprehensive manner for better understanding of the general population.
    Are the methods well-suited for this research?
    Highly…
    Lire
  4. par Fidjans Austine Kwadu
    Does the introduction explain the objective of the research presented in the preprint?
    Yes
    It is in line with the objectives that were indicated
    Are the methods well-suited for this research?
    Somewhat appropriate…
    Lire