Challenges of Trustable AI and Added-Value on Health - Proceedings of MIE 2022, Medical Informatics Europe, Nice, France, May 27-30, 2022

Abstract

The proceedings contain 250 papers. The topics discussed include: applying machine learning to arsenic species and metallomics profiles of toenails to evaluate associations of environmental arsenic with incident cancer cases;user satisfaction with an AI system for chest X-ray analysis implemented in a hospital’s emergency setting;scaling AI projects for radiology – causes and consequences;ECG classification using combination of linear and non-linear features with neural network;dataset comparison tool: utility and privacy;when context matters for credible measurement of drug-drug interactions based on real-world data;a lightweight and interpretable model to classify bundle branch blocks from ECG signals;analysis of stroke assistance in Covid-19 pandemic by process mining techniques;automated diagnosis of autism spectrum disorder condition using shape based features extracted from brainstem;using explainable supervised machine learning to predict burnout in healthcare professionals;and an image based object recognition system for wound detection and classification of diabetic foot and venous leg ulcers.