Student research project / thesis - Recognition of stroke symptoms using AI via AR glasses

Job advertisement for specializations such as: Computer science, communication sciences, software design, software engineering, technical computer science, technology management, medical informatics, medical technology or similar.

Recognizing strokes is a challenge even for experienced medical staff, especially in primary care. With around 270,000 cases in Germany, “time is brain”: the faster the stroke is recognized and acted upon, the better the chances of recovery. However, recognizing a stroke is complex, as the symptoms can present themselves very differently.
In this thesis, suitable AR glasses and sensor technology that enable the detection of strokes using a local AI model will be discussed and implemented. The challenges and limitations of its use as an aid for primary care should be considered in the selection and implementation.

What you will do

• Conduct a comprehensive literature review and requirements analysis of existing AR and AI systems in the emergency services.
• Implement AR glasses that support local AI models.
• Integrate additional sensor technology to enable stroke detection.
• Develop algorithms and apply AI models to recognize stroke symptoms on the AR glasses.
• Validate the solution through experiments.
• Document and present the research results.

What you bring to the table

• Good programming skills, ideally in Python or C++.
• Experience with AI models and using the corresponding tools.
• Ideally experience with AR/VR/MR glasses.
• Interest in and/or basic knowledge of medicine.
• Independent, thorough, and systematic way of working.
• Enjoy applied research and interdisciplinary work.
• Completed basic studies in a STEM subject.
• Fluent in German or English.

What you can expect

• Practical research that shapes the future of healthcare.
• Interdisciplinary, scientifically oriented working environment with close supervision.
• Well-equipped laboratories and modern research OR with Cone Beam CT.
• Table football during the lunch break.
• Research that shapes the future of healthcare.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, and identity. Severely disabled persons are given preference in the event of equal suitability.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

Frau Lisa Bauer
Recruiting

lisa.bauer@ipa.fraunhofer.de

Tel.: +49 711 970-3681

Fraunhofer Institute for Manufacturing Engineering and Automation IPA

www.ipa.fraunhofer.de

Requisition Number: 78050 Application Deadline: