Exploring the potential of artificial intelligence and Kaspa Health in transforming healthcare

The healthcare industry faces a wide range of challenges, from data security concerns to inefficiencies in administration and limited access to personalized care. Emerging technologies such as blockchain, BlockDAG (Directed Acyclic Graph), and artificial intelligence (AI) offer significant potential to address these issues. Among these innovations, the Kaspa blockchain, powered by its unique BlockDAG architecture, presents an opportunity to overcome many of the limitations associated with traditional blockchain systems.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-19
DOI
https://doi.org/10.5281/zenodo.15052610
Primary Topic
Graphene research and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Exploring the potential of artificial intelligence and Kaspa Health in transforming healthcare

Zenodo (CERN European Organization for Nuclear Research)
Graphene research and applications
article

Exploring the potential of artificial intelligence and Kaspa Health in transforming healthcare

article en

Abstract

The healthcare industry faces a wide range of challenges, from data security concerns to inefficiencies in administration and limited access to personalized care. Emerging technologies such as blockchain, BlockDAG (Directed Acyclic Graph), and artificial intelligence (AI) offer significant potential to address these issues. Among these innovations, the Kaspa blockchain, powered by its unique BlockDAG architecture, presents an opportunity to overcome many of the limitations associated with traditional blockchain systems.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Graphene research and applications
DOIOpen Access PDFOpenAlex
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Exploring the potential of artificial intelligence and Kaspa Health in transforming healthcare · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS