Area of research
Health Informatics · Artificial Intelligence
Research interest
Research focused on Context (archaeology) and Trustworthiness, with related work in Health care, Coronavirus disease 2019 (COVID-19), Key (lock). Notable publications include 'To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems', 'Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier', and 'On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls'.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients
Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls