Trust and accuracy in AI: Optometrists favor multimodal AI systems over unimodal for glaucoma diagnosis in collaborative environment

Multimodal AI systems, which use the same data modality as optometrists and align more closely with their mental models and decision-making processes, result in higher user trust and improved diagnostic performance. Therefore, for effective human-AI collaboration in healthcare, specifically for glaucoma diagnosis, AI systems should be designed to utilize the same data sources as the human counterparts, ensuring consistency and improving both trust and decision accuracy.