Integration of artificial intelligence into health technology assessment: optimizing clinical analysis and synthesis of evidence of effectiveness and safety

Abstract

Clinical assessment is one of the most labor-intensive components of Health Technology Assessment, as it requires systematic literature retrieval, critical appraisal, and synthesis of scientific evidence. Recent advances in artificial intelligence have created new opportunities to optimize these processes; however, comparative analyses of artificial intelligence-based tools supporting the clinical component of Health Technology Assessment remain limited.