Chirurgische Qualität mit KI bewerten und verbessern

𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗗𝗮𝘁𝗮: 𝗧𝗵𝗲 𝗣𝗮𝘁𝗵 𝘁𝗼 𝗠𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗦𝘂𝗿𝗴𝗶𝗰𝗮𝗹 𝗤𝘂𝗮𝗹𝗶𝘁𝘆

The Surgical AI Hub Germany aims to make surgical quality data-driven and transparent—so that surgeons can use the insights gained in a targeted way for their own professional development. By applying AI-based analysis to surgical video recordings, the initiative is creating a platform that makes surgical procedures transparent and supports individual training as well as professional exchange among surgeons.

𝗙𝗿𝗼𝗺 𝗥𝗮𝘄 𝗗𝗮𝘁𝗮 𝘁𝗼 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗲𝘁𝗿𝗶𝗰𝘀

The project’s technical complexity lies in the sheer volume and heterogeneity of the data: gigabytes of video information must be analyzed—while strictly complying with data protection requirements.

In addition to a technical demonstrator that maps the full functional pipeline from data capture to analysis, an interactive click dummy was developed and is used for extensive UX testing in clinical environments. Both components are already being presented to expert panels and at international conferences—as tangible examples of a new generation of data-driven quality assurance in the operating room.