Review of Open-Source AI Tools for Healthcare IT Infrastructures

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.

• Publication year

  2025

• Venue

  IEEE Access

• Publication date

  Unknown publication date

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1109/ACCESS.2025.3599912
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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