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.
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CITATION STYLE
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
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