OR process analysis - safety during an operation

Context

By using artificial intelligence to analyze processes, innovative solutions can be developed to ensure compliance with safety measures in critical situations. This includes checking whether protective clothing and safety distances are being observed, which can minimize risks for staff and patients.

The further development of such technologies helps to set modern standards in the medical field and at the same time provides a basis for future innovations. In particular, the precise recognition of people, their clothing and their position enables data-based optimization of operational processes. The results of this work have the potential not only to increase safety, but also to improve work processes and sustainably increase the quality of medical care.

Tasks

• Literature research on gown recognition and analysis of transferability to the OR context
• Research on distance calculations for pose estimators
• Comparison of different AI models and analysis of possible improvement potentials
• Design of an evaluation concept and support in defining requirements
• Training of the AI models and evaluation of the prototype system at the FZI with test persons

Prerequisites

• Motivation and interest in solving technical problems independently
• Knowledge of machine learning and artificial intelligence
• Experience with Python and AI frameworks (e.g. PyTorch)
• Analytical, problem-solving and communication skills