Elora Schoerverth

Hi, I am Elora! I am a second-year master’s student in Computer Science at TU Berlin, Germany. The focus of my studies is on machine learning and distributed systems. I am especially interested in applying ML in medical image processing as well as remote sensing.

Alongside my studies I work as a student researcher at the Department of Artificial Intelligence at Fraunhofer HHI, where I lead the development of an assessment platform for machine learning in health. This platform is part of the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H).

Before my master’s, I completed my bachelor’s in Media & Computer Science at TU Berlin. For my bachelor’s thesis, I developed a web application supervising the progression of Parkinson’s in patients.

selected publications

JOMS

Machine Learning for Health Algorithm Auditing & Quality Control

Oala, Schörverth et al.

Journal of Medical Systems Nov 2021

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Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surpass the performance of existing tools, yet the reality is usually more complicated. Reliable deployment of ML4H to the real world is challenging as examples from diabetic retinopathy or Covid-19 screening show. We envision an integrated framework of algorithm auditing and quality control that provides a path towards the effective and reliable application of ML systems in healthcare. In this editorial, we give a summary of ongoing work towards that vision and announce a call for participation to the special issue Machine Learning for Health Algorithm Auditing & Quality Control in this journal to advance the practice of ML4H auditing.
TALK

Prüfung von KI-Modellen in der Medizin

Schörverth, Elora

Bundesverband Managed Care e.V. 2021

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