Artificial Intelligence (AI) is becoming an indispensable tool in healthcare, improving diagnostics, treatment planning, and patient outcomes. As AI systems handle sensitive health data and make critical decisions, ethical considerations, including patient privacy, data security, and the transparency of AI decision-making processes, are paramount. The CLASSICA project (Horizon Europe Programme) is at the forefront of integrating AI with medical technology to tackle colorectal cancer, the third most common type of cancer worldwide. CLASSICA transforms a research prototype into a vital tool for surgeons, utilising tissue fluorescence dynamics to effectively distinguish between cancerous and non-cancerous tissues. The technology leverages the differential fluorescence intensity of tissues when exposed to indocyanine green (ICG), a fluorescent dye, and excited by near-infrared (NIR) light. This method captures and analyses the intensity curves from video frames, allowing for real-time AI-based classification of tissues during colorectal cancer surgery.
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Authors: Samo Eržen, Jernej Cucek, Jan Rojc; Arctur
