AIMC Journal:
Value in health regional issues

OBJECTIVES: This study evaluated the cost-effectiveness of integrating artificial intelligence (AI) into breast and lung cancer diagnostic workflows in Costa Rica, addressing the scarcity of health economic evidence for AI adoption in low- and middle...

OBJECTIVES: Current eligibility criteria for Medicare Medication Therapy Management (MTM) programs may disadvantage racial and ethnic minorities. As health plans increasingly apply predictive modeling to guide MTM eligibility, these tools risk perpet...

OBJECTIVES: Artificial intelligence (AI) has the potential of revolutionizing healthcare, including health technology assessments (HTAs). Although its application in HTA remains emerging, AI holds promise for enhancing evidence generation, dossier de...

OBJECTIVES: To assess the economic impact of Artificial Intelligence (AI)-assisted stress echocardiography (SE) in the National Health Service (NHS) diagnostic pathway for coronary artery disease (CAD) using cost-effectiveness analysis and cost-conse...

OBJECTIVES: To evaluate the performance of Claude 3.7 Sonnet in automating data extraction for systematic literature reviews (SLRs). METHODS: An artificial intelligence (AI) extraction model based on the Claude 3.7 Sonnet large language model was dev...