Next Steps

As this project concludes with the graduation of the current team, the following directions are proposed for future developers, researchers, or clinical collaborators aiming to build upon this work:

• Performance Optimization: Continue refining the algorithm to further decrease processing time and enable seamless real-time analysis in clinical settings.

• Algorithm Expansion: Develop quantitative capabilities for tissue perfusion analysis, expanding beyond hemoglobin mapping to support broader diagnostic insights.

• Validation and Benchmarking: Conduct comparative studies to validate the algorithm's accuracy against established clinical imaging modalities and datasets.

• Graphical User Interface (GUI): Create an intuitive, user-friendly interface to allow for real-time visualization and interaction with imaging data during surgical or research procedures.

• Device Integration: Begin translating the imaging system and algorithm into a functional prototype suitable for operating rooms or bedside applications, with a focus on portability and ease of use.

• Documentation and Support: Maintain and expand comprehensive technical documentation to ensure continuity, support future development, and ease integration into new environments.

These next steps are intended to guide the ongoing evolution of this technology into a robust, clinically relevant tool for real-time intestinal perfusion assessment.