Economic Value of AI in Radiology: A Systematic Review
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
Abstract
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.
Topics & Concepts
Context (archaeology)MedicineEconomic evaluationQuality (philosophy)Artificial intelligenceActuarial scienceValue (mathematics)Computer scienceEconLitRevenueChest radiographQuality-adjusted life yearHealth careCost effectivenessCost–benefit analysisProtocol (science)Machine learningEvidence-based medicineQuality assuranceArtificial Intelligence in Healthcare and EducationRadiology practices and educationRadiomics and Machine Learning in Medical Imaging