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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.17197149
Primary Topic
Pancreatic and Hepatic Oncology Research
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)
Pancreatic and Hepatic Oncology Research
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 38%
Pancreatic and Hepatic Oncology Research
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