CLASSICA publication
Interpretable AI is poised to do for NIR perfusion analysis what the compass did for navigation: provide a precise, reliable tool that enhances decision-making with a fraction of the complexity. The latest CLASSICA publication reveals our approach to embedding AI within the surgical toolkit. It focuses on the essential technical and functional design considerations crucial for developing systems for in situ cancer characterisation and tissue perfusion assessment that also adhere to medical device regulations.
“Technical and functional design considerations for a real-world interpretable AI solution for NIR perfusion analysis (including cancer)" is a new CLASSICA project publication by Alice Moynihan (UCD Centre for Precision Surgery (UCD)), Patrick Boland (UCD), Jernej Cucek (Arctur), Samo Eržen (Arctur), Dr Niall Hardy (UCD), Phil McEntee (UCD), Jan Rojc (Arctur), and Prof. Ronan Cahill (CLASSICA Coordinator, UCD, Department of Surgery, Mater Misericordiae University Hospital, Dublin, Ireland).
In this article, published in the European Journal of Surgical Oncology, Moynihan and co-authors present practical strategies for implementing interpretable AI in NIR perfusion analysis for enhanced cancer detection and tissue health assessment.
The application of AI to NIR perfusion analysis represents a significant advancement, providing a tool that simplifies complex decision-making in a way that echoes the transformative impact of the compass on navigation. As detailed in the CLASSICA project’s latest publication, this progress involves integrating AI into the surgical toolkit, with the article highlighting essential technical and functional design considerations in addition to compliance with medical device regulations. While the emphasis has been on cancer characterisation, the fundamental techniques for extracting and analysing intensity time series and fluorescence perfusion patterns are broadly applicable, offering insights into tissue status across diverse medical specialities.
Read the full article online.