Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.
Journal:
International journal of medical informatics
Published Date:
Sep 1, 2025
Abstract
INTRODUCTION: Advances in artificial intelligence offer the promise of automated analysis of optical coherence tomography (OCT) scans to detect ocular complications from anticancer drug therapy. To explore how such AI outputs are interpreted in clinical settings, we conducted a survey-based interview study with 27 clinicians -comprising 10 ophthalmic specialists, 10 ophthalmic practitioners, and 7 oncologists. Participants were first introduced to core AI concepts and realistic clinical scenarios, then asked to assess AI-generated OCT analyses using standardized Likert-scale questions, allowing us to gauge their understanding, trust, and readiness to integrate AI into practice.
