Purpose:Â To discuss scientific methods, statistical approaches, and open-source tools specifically for... View more
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Purpose:Â To discuss scientific methods, statistical approaches, and open-source tools specifically for AI in healthcare research.
Description:Â This group is for academics and researchers to delve into the technical and methodological foundations of conducting rigorous AI research. It covers everything from experimental design and data analysis to software tools and reproducibility.
Intended Use:Â For sharing best practices in AI research methodology, discussing statistical models appropriate for AI outcomes, troubleshooting research-specific technical challenges, and exploring open-source tools that facilitate AI research.
Limitations: Focus is on research methodologies and tools. Not for commercial software development or general IT operational issues. Not for specific clinical trial design
Key Activities:Discussing experimental design for AI research (e.g., comparative studies, observational studies).Analyzing statistical methods for validating AI models in research.Sharing and evaluating open-source AI libraries and tools for research.Debating reproducibility and transparency in AI in healthcare research.
Potential Users:Â Academic/Researcher, AI Innovator/Developer, Students.
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