Isabel Molwitz, Inka Ristow, Jennifer Erley, Tugba Akinci D’Antonoli, Ali S. Tejani, Michail E. Klontzas, Merel Huisman, Gerhard Adam, Stephan Nüesch, Lisa C. Adams
Artificial intelligence has the potential to increase economic value in radiology, but its financial impact is highly context dependent, varying with task complexity, diagnostic performance, payment models, and willingness-to-pay thresholds for quality-adjusted life-year gains.