Review of Open-Source AI Tools for Healthcare IT Infrastructures

2Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Open-source artificial intelligence (AI) in the healthcare sector has the potential to revolutionize the industry by improving accessibility, efficiency, and accuracy of medical services. This review examines how open-source AI reshapes diagnostics, treatment planning, patient monitoring, and healthcare administration. By using the collaborative and transparent nature of open-source platforms, healthcare providers can adopt cutting-edge AI solutions without the financial or proprietary constraints typically associated with commercial software. This study reviews the current landscape of open-source AI tools in healthcare, evaluates their performance and reliability, and identifies key challenges and opportunities for widespread adoption. Through case studies and empirical analysis, the research demonstrates how open-source AI can improve patient outcomes, streamline healthcare operations, and foster innovation. The findings suggest that open-source AI holds significant promise in democratizing access to advanced healthcare technologies and promoting a more equitable and efficient healthcare system.

Cite

CITATION STYLE

APA

Mohammed Al-Kharusi, Y., Khan, A., Rizwan Mughal, M., & Bait-Suwailam, M. M. (2025). Review of Open-Source AI Tools for Healthcare IT Infrastructures. IEEE Access. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ACCESS.2025.3599912

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free