Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcare.

ABSTRACT: This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophthalmology, and infectious diseases demonstrate that AI improves diagnostic accuracy, enhances quality-adjusted life years, and reduces costs-largely by minimizing unnecessary procedures and optimizing resource use. Several interventions achieved incremental cost-effectiveness ratios well below accepted thresholds. However, many evaluations relied on static models that may overestimate benefits by not capturing the adaptive learning of AI systems over time. Additionally, indirect costs, infrastructure investments, and equity considerations were often underreported, sug

SUBMITTER: El Arab RA 

PROVIDER: S-EPMC12381244 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature