Article with Professor Sonntag’s contributions of ideas at Transformation Leader (in German)
Reference: Bensch, Hendrik (2021): Disruption, Globale Basis, KI in der Medizin. In: Transformation Leader, Ausgabe 3/2021, S. 65-69. PDF (https://transformationleader.de/es-fehlt-an-globalen-datensaetzen-um-zu-bestimmten-krankheiten-eine-ki-zu-trainieren/)
pAItient: The Management & Krankenhaus journal features an interview with Daniel Sonntag about the detection of Covid-19 based on CT scans, and medical decision support in clinical practice.
pAItient: Handelsblatt reports about Artificial Intelligence against Covid-19 and our demonstrator, with accompanying commentary from Daniel Sonntag.
Ophthalmo-AI: Virtual Kick-off of the Ophthalmo-AI project (BMBF) in Saarbrücken, Sulzbach, Münster, Berlin and Heidelberg. In Ophthalmo-AI we aim at developing better diagnostic and therapeutic decision support in ophthalmology through effective collaboration of machine and human expertise (Interactive Machine Learning – IML).
Double or nothing – Alexander Prange will present a paper on “Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis” at this year’s ACM UMAP conference on User Modeling, Adaptation and Personalization. In contrast to the paper presented at this year’s CHI, we analyze cognitive assessments solely based on digital pen features, without additional content analysis.
Duy Nguyen presents “An Attention Mechanism using Multiple Knowledge Sources for COVID-19 Detection from CT Images” at the AAAI’21. This research is part of the pAItient project.
Alexander Prange will present a paper on “Explainable Automatic Evaluation of the Trail Making Test for Dementia Screening” at this year’s CHI conference. As part of the interactive cognitive assessment tool we generate automatic and explainable structured reports of cognitive assessments that were recorded with a digital pen.
An interview with Daniel Sonntag about “AI for healthy living” has been published in a German digital healthcare campaign, see https://issuu.com/europeanmediapartner/docs/analyse__-_digi_gesundheit_it-sec_18122020_epaper (in German)
The German Standardization Roadmap Artificial Intelligence has been published recently in November 2020. In medicine, secure framework conditions have to be created; and the legal context, economy, technical aspects, acceptance, privacy, data security, and ethical aspects have to be taken into account.
In the pAItient project, where DFKI is responsible for secure framework conditions of AI systems, we have now published our first paper that explicitely addresses these aspects and standardisation needs of image preprocessing guidelines which are naturally subject to GDPR and DSGVO.
Tomorrow, “The effects of masking in melanoma image classification with CNNs towards international standards for image preprocessing” will be presented at EAI MedAI 2020 – the International Symposium on Medical Artificial Intelligence.
pAItient: Virtual Kick-Off of the pAItient project (BMG) in Saarbrücken and Heidelberg. In pAItient we aim at automating the development of AI-based approaches in medicine (from the idea to translation into cross-site clinical routine).
Invited panel discussion as a Webinar, organised by the Konrad Adenauer Stiftung, on AI against COVID-19 with experts from China.
Related editorial of the German Journal of Artificial Intelligence
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KI-Para-Mi: Kick-off of the KI-Para-Mi Project (BMBF) as webinar in Munich and Saarbrücken. In KI-Para-Mi, we develop an intelligent personnel planning system for flexible shift scheduling in nursing, which above all takes into account the interests of the employees.