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Clinical and ethical requirements analysis for AI-based patient-specific mitral valve therapy in the Heart-Team
Through the Institute for History of Medicine and Ethics in Medicine an ethical requirements analysis for the use of video glasses during an AI-based therapy preliminary discussion in mitral valve surgery is performed.
Communication and interaction between the different cardiac specialists* in the heart team is a key element of therapy and surgery planning for mitral valve reconstruction. In order to improve the therapeutic results of mitral valve therapy, algorithmic approaches are being developed in the joint project MINIMAKI using artificial intelligence to plan the therapy virtually on the basis of generated, image-based models and combined visualizations. In this way, anatomical conditions and functions can be better simulated before surgery for therapy planning. This creates a completely new situation in the context of the therapy discussion in the heart team. The disciplines represented meet using HoloLens (augmented reality video glasses) and communicate and interact in a virtual environment based on the images generated there.
Within the subproject MINIMAKI_HEARTTEAM, the communication and interaction processes during the meeting in the heart team will first be investigated under the previous clinical conditions. For this purpose, at least two participatory observations will be conducted during the therapy and surgery pre-meeting of the heart team.
In a second step, it will be investigated to what extent the communication and interaction behavior during therapy planning of a mitral valve reconstruction in the Heart Team could change under the use of augmented reality glasses (HoloLens) and AI-based virtual models, respectively, which framework conditions are necessary to enable an ethically responsible and clinically safe therapy planning. Results will be integrated into further development and clinical implementation of virtual therapy planning models and augmented reality glasses. For this purpose, at least one group discussion with physicians from the Heart Team will be conducted.
Project info
Funding: BMBF (Adaptive Technologies for Society - Intelligent Interaction of Humans and AI)
Project management: Prof. Dr. Susanne Michl
Project management: Sabine Wiegmann
Student assistant: Jasmin Nicole Funk
Cooperation partner:
- Fraunhofer Institute for Medical Image Computing (MEVIS) - Berlin branch
- data experts gmbh, Neubrandenburg
- German Heart Institute Berlin
- Clinic for Cardiovascular Surgery of the Charité - University Medicine Berlin
Duration: 03/2021 - 03/2024
