Economics of AI and human task sharing for decision making in screening mammography.

ABSTRACT: The rising global incidence of breast cancer and the persistent shortage of specialized radiologists have heightened the demand for innovative solutions in mammography screening. Artificial intelligence (AI) has emerged as a promising tool to bridge this demand-supply gap, with potential applications ranging from full automation to integrated AI-human decision-making. This study evaluates the economic feasibility of incorporating artificial intelligence (AI) into mammography screening within healthcare settings, considering full or partial integration. To evaluate the economic viability, we employ an optimization model specifically designed to minimize mammography screening costs. This model considers three distinct approaches when interpreting mammograms: automation strategy utilizing AI

SUBMITTER: Ahsen ME 

PROVIDER: S-EPMC11889172 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature