Johannes Schobel

Sara Krauss, Ellena Spieß, Daniel Hieber et al.

Mitotic figures (MFs) are relevant biomarkers in tumor grading. Differentiating atypical MFs (AMFs) from normal MFs (NMFs) remains difficult, as manual annotation is time-consuming and subjective. In this work an ensemble of ConvNeXtBase models was trained with AUCMEDI and extend with a rule-based refinement (RBR) module. On the MIDOG25 preliminary test set, the ensemble achieved a balanced accuracy of 84.02%. While the RBR increased specificity, it reduced sensitivity and overall performance. The results show that deep ensembles perform well for AMF classification. RBR can increase specific metrics but requires further research.

Marc Holfelder, Lena Mulansky, Winfried Schlee et al.

Within the healthcare environment, mobile health (mHealth) applications (apps) are more and more important. The number of new mHealth apps has risen steadily in the last years. Especially the Covid-19 pandemic has led to an enormous amount of app releases. Notably, in most countries, mHealth applications have to be already compliant with several regulatory aspects in order to be declared to be a 'medical app'. However, the latest applicable medical device regulation (MDR) does not comment in more detail on the topic of the requirements for mHealth applications. When developing a medical app, it is essential that all contributors in an interdisciplinary team - especially the software engineers - are aware of the specific regulatory requirements beforehand. The development process, however, should not be stalled too long due to the integration of the MDR. Therefore, a developing framework, which includes these aspects, is required, to enable a smooth development process. The paper at hand introduces the creation of such a framework on the basis of the Corona Health and Corona Check apps. The relevant regulatory guidelines are listed and summarized to a guidance for medical app developments. In particular, the important stages and faced challenges emerged during the entire development process are highlighted.

Carsten Vogel, Rüdiger Pryss, Johannes Schobel et al.

Through lockdowns and other severe changes to daily life, almost everyone is affected by the COVID-19 pandemic. Scientists and medical doctors are - among others - mainly interested in researching, monitoring, and improving physical and mental health of the general population. Mobile health apps (mHealth), and apps conducting ecological momentary assessments (EMA) respectively, can help in this context. However, developing such mobile applications poses many challenges like costly software development efforts, strict privacy rules, compliance with ethical guidelines, local laws, and regulations. In this paper, we present TrackYourHealth (TYH), a highly configurable, generic, and modular mobile data collection and EMA platform, which enabled us to develop and release two mobile multi-platform applications related to COVID-19 in just a few weeks. We present TYH and highlight specific challenges researchers and developers of similar apps may also face, especially when developing apps related to the medical field.