This episode delves into the evolving role of artificial intelligence in enhancing fluorescence-guided surgery (FgS) across oncologic disciplines. Based on an abstract from "Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology" published in Surgical Oncology in 2026, we review the current evidence and translational readiness of AI integration. The discussion highlights AI's potential to overcome limitations in FgS, such as subjective interpretation and variable signal intensity, by offering quantitative analysis and improved margin detection. We examine specific applications and the current state of AI integration in neuro-oncology, gynaecological oncology, and thoracic oncology, identifying areas of strong proof-of-concept and significant translational gaps. This summary is for informational purposes and does not constitute medical advice. The content is AI-generated and should be reviewed by a qualified medical professional.