Explainable AI and Augmented Reality in Transesophageal Echocardiography (TEE) Imaging
Ryan Harari, Abdullah Al-Taweel, Tareq Ahram, Hamid Shokoohi
Abstract
This study explores how mocked explainable AI (xAI) decision support system and Augmented Reality (AR) impact clinicians' trust and performance in Transesophageal Echocardiography (TEE) imaging. A cohort of 24 Emergency Medicine clinicians assessed three xAI modalities alongside an AR interface. The study found that detailed xAI explanations gained the highest trust and decision accuracy. AR-based decision support was also viewed as innovative, but potentially distracting. Further studies with larger sample sizes in real clinical settings are required to validate these findings.
Topics & Concepts
Augmented realityComputer scienceComputer graphics (images)Computer visionAdvanced X-ray and CT ImagingArtificial Intelligence in Healthcare and EducationRadiation Dose and Imaging