Publications by authors named "Stina Matthiesen"
Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study.
Stina Matthiesen Søren Zöga Diederichsen Mikkel Klitzing Hartmann Hansen Christina Villumsen Mats Christian Højbjerg Lassen
JMIR Hum Factors
November 2021
Article Synopsis
- AI and machine learning show promise for enhancing clinical decision-making in cardiac diseases, but implementation in clinics faces sociotechnical challenges.
- A study examined a machine learning tool designed to predict ventricular tachycardia/fibrillation in patients with implantable cardiac defibrillators, focusing on its impact on clinical decision-making.
- Results indicated the tool could bolster confidence and support remote monitoring decisions, but was less effective with poor data quality and did not change clinical actions, highlighting the need for aligned expectations and trust in AI tools.*