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Maier-Hein, L., Vedula, S.S., Speidel, S., Navab, N., Kikinis, R., Park, A., et al. (2017) Surgical Data Science for Next-Generation Interventions. Nature Biomedical Engineering, 1, 691-696.
https://doi.org/10.1038/s41551-017-0132-7

has been cited by the following article:

• TITLE: A Prototype AI Surgical Assistant for Real-Time Consultation during Laparoscopic Surgery

  AUTHORS: Savvas Hirides, Petros Hirides, Kalliopi Kouloufakou, Constantinos Hirides

  KEYWORDS: AI Surgical Assistant, Real-Time Video Analysis, GPT-4o in Surgery, AI in the OR, Voice-Activated Intraoperative Support

  JOURNAL NAME: Surgical Science, Vol.16 No.7, July 31, 2025

  ABSTRACT: Recent advancements in generative AI and large language models (LLMs) have sparked new opportunities in surgical innovation. We present our prototype AI Surgical Assistant Prototype System, integrating real-time vision support for streaming video of the operative field, advanced speech recognition, multilingual natural voice interaction, both long- and short-term memory simulation, and customizable behavioral profiles. Testing showed that the system exhibited contextual awareness from visual feedback in 38% of instances, ability for verbal interaction, and dynamic memory logging throughout the procedure. This feasibility study suggests that real-time, context-aware AI support is technically viable in the OR and may serve as a basis for future clinical models.