The future of healthcare: AI-powered solutions for enhanced access and disease management

Artificial Intelligence (AI) is transforming the healthcare industry by improving access, optimizing cost-efficiency, and enhancing population health management. AI-powered tools facilitate early disease detection, automate administrative processes, and provide predictive insights for medical decision-making. This paper examines recent AI-driven innovations in healthcare, focusing on Medicaid, Medicare, and disease prediction models. The integration of AI with cloud platforms and blockchain enhances healthcare security, accessibility, and scalability. However, ethical challenges and regulatory concerns must be addressed to ensure responsible AI implementation. This study highlights AI's dual impact on healthcare—balancing technological advancements with ethical and operational challenges. The expansion of AI applications in medical imaging, robotic-assisted surgery, and patient engagement is also explored. Furthermore, this paper delves into AI's role in drug discovery, genomic research, and telehealth advancements.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17197148
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
0.00
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article

The future of healthcare: AI-powered solutions for enhanced access and disease management

Zenodo (CERN European Organization for Nuclear Research)
Archaeological Research and Protection
article

The future of healthcare: AI-powered solutions for enhanced access and disease management

article en

Abstract

Artificial Intelligence (AI) is transforming the healthcare industry by improving access, optimizing cost-efficiency, and enhancing population health management. AI-powered tools facilitate early disease detection, automate administrative processes, and provide predictive insights for medical decision-making. This paper examines recent AI-driven innovations in healthcare, focusing on Medicaid, Medicare, and disease prediction models. The integration of AI with cloud platforms and blockchain enhances healthcare security, accessibility, and scalability. However, ethical challenges and regulatory concerns must be addressed to ensure responsible AI implementation. This study highlights AI's dual impact on healthcare—balancing technological advancements with ethical and operational challenges. The expansion of AI applications in medical imaging, robotic-assisted surgery, and patient engagement is also explored. Furthermore, this paper delves into AI's role in drug discovery, genomic research, and telehealth advancements.

Zenodo (CERN European Organization for Nuclear Research)
Visvesvaraya Technological University (IN)
Openalex Percentile: Top 50%
Archaeological Research and Protection
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The future of healthcare: AI-powered solutions for enhanced access and disease management · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS